text:
illuminations. This makes it possible to do swapping for faces with large pose variations. In the demo, the user captures a frontal face image using a capture device such as a webcam or a smartphone, and then the algorithm can automatically build the 3D model using feature detection, face alignment and reconstruction. This 3D model is used to swap to any other target face photo the user selects. While our system is automatic, we also provide interactive tools for the user to adjust the feature detection to enhance the results.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1249–1250},
numpages = {2},
keywords = {3D head reconstruction, multi-resolution spline, color transfer, face replacement},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396427,
author = {Tang, Feng and Tang, Hao and Tretter, Daniel R. and Lin, Qian},
title = {TouchPaper: Making Print Interactive},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396427},
doi = {10.1145/2393347.2396427},
abstract = {Traditional printed materials such as photobooks and collages are static in that the information conveyed is unchanging and limited to what was printed. In this paper, we describe an online service for augmenting prints with rich media by using image recognition. A print can have multiple hotspots with each one linking to different content on the web (e.g. Facebook, Youtube video, animations, etc.). When a print is viewed through a mobile device, it is automatically recognized and the interactive hot regions are highlighted on the screen. The user can click regions of interest to link to relevant content on the web. This technology significantly enhances the potential for personalization and interaction and ultimately the end user experience and the value of the prints. As an example application, we leverage our Facebook auto-photobook application to automatically create interactive links for each photo in a page. The user can easily view additional content such as photo comments for each photo through the augmentation mechanism.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1251–1252},
numpages = {2},
keywords = {interactive photobook, touchpaper, image recognition, augmented reality},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396428,
author = {Yang, Hongsheng and Sun, Huanliang and Lu, Jiangbo},
title = {Quicktoon: A Real-Time Video Stylization and Sharing System on General Processors},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396428},
doi = {10.1145/2393347.2396428},
abstract = {We present a video stylization and sharing system named QuickToon, which supports generating a variety of useful and pleasing visual effects and allows easy use in video chat or sharing via social networking services (SNS). Based on our highly efficient edge-preserving smoothing filter, non-photo-realistic video rendering effects can be generated on the fly such as skin beautification, cartoon-like rendition, object outline, pencil sketch, and color stroke. Without requiring any GPUs that would otherwise seriously limits portability, the QuickToon system runs comfortably in real time for VGA- or HD-sized videos on general processors such as CPUs. The system can take in video frames either from a live webcam feed or any photos/videos from the local store, while the transformed imagery can be used in a live Skype video call, or saved locally, or uploaded and shared to SNS with one click. We demonstrate with concrete examples the functionality of this system, and underline its utility in video communication and photo/video sharing.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1253–1254},
numpages = {2},
keywords = {video communication, photo sharing, video stylization},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396429,
author = {Sun, Zhenbang and Wang, Changhu and Zhang, Liqing and Zhang, Lei},
title = {Sketch2Tag: Automatic Hand-Drawn Sketch Recognition},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396429},
doi = {10.1145/2393347.2396429},
abstract = {In this work, we introduce the Sketch2Tag system for hand-drawn sketch recognition. Due to large variations presented in hand-drawn sketches, most of existing work was limited to a particular domain or limited predefined classes. Different from existing work, Sketch2Tag is a general sketch recognition system, towards recognizing any semantically meaningful object that a child can recognize. This system enables a user to draw a sketch on the query panel, and then provides real-time recognition results. To increase the recognition coverage, a web-scale clipart image collection is leveraged as the knowledge base of the recognition system. Better understanding a user's drawing will be of great value to a variety of applications, such as, improving the sketch-based image search by combining the recognition results as textual queries.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1255–1256},
numpages = {2},
keywords = {sketch-based image search, sketch recognition},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396430,
author = {Qi, Xianbiao and Xiao, Rong and Zhang, Lei and Li, Chun-Guang and Guo, Jun},
title = {A Rapid Flower/Leaf Recognition System},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396430},
doi = {10.1145/2393347.2396430},
abstract = {In this work, we introduce a rapid and accurate flower/leaf recognition system. The system could process one query in less than 0.35s with users' simple interaction. Meanwhile, high accuracy and recall is achieved. Furthermore, low computational resource and memory cost are required by the system. Now, the system is demonstrated on 172 categories of flowers, the largest flower dataset until now, and 220 categories of leaves.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1257–1258},
numpages = {2},
keywords = {leaf recognition, flower recognition, plant recognition},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396431,
author = {Yeh, Mei-Chen and Li, Po-Yi},
title = {A Tool for Automatic Cinemagraphs},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396431},
doi = {10.1145/2393347.2396431},
abstract = {A cinemagraph is a new type of medium that infuses a static image with the dynamics of one or a few particular regions. It is in many ways intermediate between a photograph and a video, and provides a simple, yet expressive way to mix static and dynamic elements from a video clip. However, the process of creating cinemagraphs is usually tedious for end users and requires serious photo editing skills. In this demonstration we show a tool that creates cinemagraphs in a fully automatic manner. The technique should enable new features such as "intelligent cinemagraph mode" for digital cameras that provides an alternative method to capture the moment.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1259–1260},
numpages = {2},
keywords = {photography, cinemagraph},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396432,
author = {Lin, Yan-Ching and Hu, Min-Chun and Cheng, Wen-Huang and Hsieh, Yung-Huan and Chen, Hong-Ming},
title = {Actions Speak Louder than Words: Searching Human Action Video Based on Body Movement},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396432},
doi = {10.1145/2393347.2396432},
abstract = {Human action video search is a frequent demand in multimedia applications, and conventional video search schemes based on keywords usually fail to correctly find relevant videos due to noisy video tags. Observing the widespread use of Kinect-like depth cameras, we propose to search human action videos by directly performing the target action with body movements. Human actions are captured by Kinect and the recorded depth information is utilized to measure the similarity between the query action and each human action video in the database. We use representative depth descriptors without learning optimization to achieve real-time and promising performance as compatible as those of the leading methods based on color images and videos. Meanwhile, a large Depth-included Human Action video dataset, namely DHA, is collected to prove the effectiveness of the proposed video search system.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1261–1262},
numpages = {2},
keywords = {human action recognition, depth information, human action video retrieval},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396433,
author = {Chen, Chi-Wen and Hu, Min-Chun and Cheng, Wen-Huang and Chang, Che-Han and Lai, Jui-Hsin and Wu, Ja-Ling},
title = {Action Tutor: Real-Time Exemplar-Based Sequential Movement Assessment with Kinect Sensor},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396433},
doi = {10.1145/2393347.2396433},
abstract = {With the aid of depth camera, such as Microsoft Kinect, the difficulty of vision-based posture estimation is greatly decreased, and human action analysis has achieved a wide range of applications. However, there is still much to do to develop effective movement assessment technique, which bridges the results of human posture estimation and the understanding of human action performance. In this work, we propose an action tutor system which enables the user to interactively retrieve the learning exemplar of the target action movement and to immediately acquire motion instructions while learning it in front of the Kinect. In the retrieval stage, non-linear time warping algorithms are designed to retrieve video segments similar to the query movement roughly performed by the user. In the learning stage, the user learns according to the selected video exemplar, and the motion assessment including both static and dynamic differences is presented to the user in a more effective and organized way, helping him/her to perform the action movement correctly.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1263–1264},
numpages = {2},
keywords = {movement assessment, human action video retrieval},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396434,
author = {Shafiei, Arash and Ngo, Quang Minh Khiem and Guntur, Ravindra and Saini, Mukesh Kumar and Pang, Cong and Ooi, Wei Tsang},
title = {Jiku Live: A Live Zoomable Video Streaming System},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396434},
doi = {10.1145/2393347.2396434},
abstract = {We present Jiku Live, a client-server system that supports zoom and pan operations in live video streaming from network cameras. The client is an Android mobile application that plays back live video from a selected camera and supports multi-touch zoom and pan interaction. The server acquires video streams from network cameras and transcodes the video feeds into one-second video segments at multiple resolutions. The transcoded video supports random access into any region-of-interest (RoI) within the video. Upon receiving zoom or pan requests, the server transmits the RoIs from the corresponding video segments to the client.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1265–1266},
numpages = {2},
keywords = {live video streaming, zoomable video},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396435,
author = {Doman, Keisuke and Kuai, Cheng Ying and Takahashi, Tomokazu and Ide, Ichiro and Murase, Hiroshi},
title = {Smart VideoCooKing: A Multimedia Cooking Recipe Browsing Application on Portable Devices},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396435},
doi = {10.1145/2393347.2396435},
abstract = {This demo presents "Smart VideoCooKing" which is a multimedia cooking recipe browsing application on portable Android devices. A multimedia cooking recipe is a cooking recipe where each cooking operation is associated with a corresponding video clip describing it, aimed to facilitate the understanding of cooking operations. In combination with third-party applications, "Smart VideoCooKing" provides useful functions such as playing cooking video clips describing cooking operations quickly, searching information of ingredients easily, and reading aloud cooking directions.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1267–1268},
numpages = {2},
keywords = {multimedia cooking recipe, cooking support},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396436,
author = {Kimber, Don and Shingu, Jun and Vaughan, Jim and Arendash, David and Lee, David and Back, Maribeth},
title = {Through the Looking Glass: Mirror Worlds for Augmented Awareness & Capability},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396436},
doi = {10.1145/2393347.2396436},
abstract = {We demonstrate a system for supporting mirror worlds - 3D virtual models of physical spaces that reflect the structure and activities of those spaces to help support context awareness and tasks such as planning and recollection of events. Through views on web pages, portable devices, or on `magic window' displays in the physical space, remote people may `look in' to the space, while people within the space are provided information that would not otherwise be obvious. For example, by looking at a mirror display, people can learn how long others have been present, or where they have been. People in one part of a building can get a sense of activities in the rest of the building. The system can be used to bridge across sites and help provide different parts of an organization with a shared awareness of each other's activities. We demonstrate viewers for several mirror worlds we have created, including for the ACM conference venue in Nara.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1269–1270},
numpages = {2},
keywords = {virtual tours, augmented reality, 3D applications},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396437,
author = {Vliegendhart, Raynor and Larson, Martha and Hanjalic, Alan},
title = {LikeLines: Collecting Timecode-Level Feedback for Web Videos through User Interactions},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396437},
doi = {10.1145/2393347.2396437},
abstract = {Conventional online video players do not make the inner structure of the video apparent, making it hard to jump straight to the interesting parts. Our LikeLines system provides its users with a navigable heat map of interesting regions for the videos they are watching. Its novelty lies in its combination of content analysis and both explicit and implicit user interactions. The system can be readily used and deployed to collect large amounts of interaction data needed for in-depth research on timecode-level feedback.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1271–1272},
numpages = {2},
keywords = {explicit feedback, web video player, viewer interactions, implicit feedback},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396438,
author = {Thomee, Bart and Rae, Adam},
title = {Exploring and Browsing Photos through Characteristic Geographic Tag Regions},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396438},
doi = {10.1145/2393347.2396438},
abstract = {We present a system that supports zoomable browsing and exploration of photos taken across the globe. Our system is based on a novel algorithm that automatically uncovers the colloquial boundaries of regions that are characteristic for individual tags used in a large collection of geo-referenced photos. We first model the data using scale-space theory, which allows us to represent it simultaneously across different scales as a family of increasingly smoothed density distributions, after which we derive the region boundaries by applying image analysis techniques to the scale-space representation of each tag. The interface visualizes the shape and size of the resulting boundaries for each tag along the dimensions of space and time across multiple scales, giving the user the ability to explore the world as patchwork of dynamic characterizing geographic tag regions and to browse through their associated photos.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1273–1274},
numpages = {2},
keywords = {visualization, tagged images, scale-space theory, flickr, geo-referenced photos, exploration, browsing},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396439,
author = {Jiang, Yuning and Yuan, Junsong and Meng, Jingjing},
title = {Rapid Object Search Engine for Contextual Advertisement},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396439},
doi = {10.1145/2393347.2396439},
abstract = {Visual object search, with the goal to find and locate the target object in large image or video collections, is of great interest for many applications and hence has received intensive attentions in recent years. In this demo, we present a spatial context-aware large-scale visual object search system, which is robust to cluttered backgrounds and can well handle scale variations of the objects. Different from the traditional image retrieval systems only matching individual points or fixed-scale spatial contexts, the proposed system considers spatial contexts of varying sizes and shapes, in the form of randomized spatial partition (RSP), and hence provides more accurate search results. Moreover, compared to the computational expensive RANSAC algorithm used in the state-of-the-art retrieval systems, the RSP framework lends our system to easy parallelization and significant speedup for object localization. Consequently, our system works accurately and efficiently. In addition, an Android application has been developed for mobile tasks, by which the user can take a photo of the object he/she wants and then search the same products and their selling information.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1275–1276},
numpages = {2},
keywords = {randomized spatial partition, spatial context, visual object search},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396440,
author = {Marutani, Takafumi and Mase, Kenji and Fujii, Toshiaki and Kawamoto, Tetsuya},
title = {Multi-View Video Contents Viewing System by Synchronized Multi-View Streaming Architecture},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396440},
doi = {10.1145/2393347.2396440},
abstract = {We developed a novel networked video viewing system for multi-view video contents with video streaming technology. This work's contribution is that our developed system confirmed the validity of simultaneous multiple video streaming architecture that incorporates real-time channel switching and a target-oriented viewing interface. In addition, we newly introduced an inter-channel bandwidth management scheme to achieve cost-effective multi-view streaming.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1277–1278},
numpages = {2},
keywords = {video streaming, multi-view video, multi-view interface, free-viewpoint TV},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396441,
author = {Kaufmann, Bonifaz and Hitz, Martin},
title = {X-Large Virtual Workspaces for Projector Phones through Peephole Interaction},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396441},
doi = {10.1145/2393347.2396441},
abstract = {In peephole interaction a window to a virtual workspace is moved in space to reveal additional content. It is a promising interaction technique for mobile projector phones to display large workspaces which contain more information than can be appropriately displayed on a small smartphone screen. In this paper we describe a projector phone prototype that implements peephole pointing without instrumenting the environment or using any additional hardware besides a smartphone and a handheld projector. This device allows for the first time to perform peephole interaction in the wild. Moreover, we demonstrate some applications we have built to exploit and investigate the full potential of peephole interaction with projector phones.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1279–1280},
numpages = {2},
keywords = {peephole pointing, brainstorming, handheld projector, projector phone, drawing, peephole interaction},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396442,
author = {Kaiser, Rene and Weiss, Wolfgang and Borsum, Malte and Kochale, Axel and Masetti, Marco and Zampichelli, Valentina},
title = {Demo: Virtual Director for Live Event Broadcast},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396442},
doi = {10.1145/2393347.2396442},
abstract = {We demonstrate the Production Scripting Engine (PSE), a Virtual Director software automatically selecting, framing and cutting camera shots as part of an interactive live broadcast production system. It reasons for multiple viewers with different devices and preferences in parallel within real-time constraints. The PSE takes individual parameters into account and executes a set of pragmatic and cinematographic principles to decide which of the available content is shown. The decision making process is distributed and takes a rule-based approach with exchangable production logic and domain models. The demo uses recorded content from both a high-resolution 180 degree panoramic camera and broadcast cameras. Extracted metadata from both automatic and manual annotation are indexed in an efficient knowledge base, which streams it to the PSE to simulate a live broadcast. We use a specific renderer that allows to view spherical content. Viewers may experience the output on 2 different devices and tweak preferences to adapt the Virtual Director's behavior.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1281–1282},
numpages = {2},
keywords = {live broadcast, virtual director, decision making},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396443,
author = {Okura, Fumio and Kanbara, Masayuki and Yokoya, Naokazu},
title = {Fly-through Heijo Palace Site: Historical Tourism System Using Augmented Telepresence},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396443},
doi = {10.1145/2393347.2396443},
abstract = {We have developed an augmented telepresence system which enables virtual tourism beyond time and space. Augmented telepresence provides a user with both the view of a remote location and related information using augmented reality techniques. This study deals with the geometric and photometric registration problems to generate movie-quality augmented omnidirectional videos automatically. The user can look around the scene from the sky above Heijo palace Site which is an ancient capital in Nara, Japan in the technical demonstration.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1283–1284},
numpages = {2},
keywords = {augmented telepresence, aerial omnidirectional image, unmanned airship},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396444,
author = {Collins, Kevin and O'Connor, Noel E. and Muntean, Gabriel Miro},
title = {Mobile Multimedia Presentation in Self-Forming Mobile Device Groups: Ad-Hoc Networks in Practice},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396444},
doi = {10.1145/2393347.2396444},
abstract = {This demo exhibits a new application of mobile ad-hoc networks, where, a group of mobile devices are connected to allow synchronized presentation of multimedia content. The demo is in the form of an interactive tour. Participants have a mobile device and the tour is led by a guide, who takes the group on an informative tour of a locale. The tour is augmented with the presentation of multimedia content on the devices, highlighting points of interest. Content presentation is controlled by the guide and is synchronized using the ad-hoc network. This is an edutainment application but the underlying technology could be applied elsewhere including educational settings and in entertainment.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1285–1286},
numpages = {2},
keywords = {ad-hoc networks, multimedia, groups, synchronization},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396445,
author = {Okunaka, Takeshi and Tonomura, Yoshinobu},
title = {Eyeke: What You Hear is What You See},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396445},
doi = {10.1145/2393347.2396445},
abstract = {This demonstration shows an interactive visual-to-auditory scene sensing system called Eyeke (Eye Mike), which converts visual features of what it sees into sound output aiming at helping us to interact with our surroundings. Eyeke works robustly by restricting colors in its image processing and easy-and-effective calibration. Demonstrations of Eyeke as a music instrument and a camera-based scene sonar are shown.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1287–1288},
numpages = {2},
keywords = {music note, auditory features, sound, sensing, color, visual features, conversion},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396446,
author = {Vonikakis, Vassilios and Winkler, Stefan},
title = {System for Creating Slideshows Based on People and Their Emotions},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396446},
doi = {10.1145/2393347.2396446},
abstract = {We demonstrate a system for the automatic creation of slideshows from photo collections, based on a user-specified group of people, their emotions and other image similarity criteria such as color, timeline and scene characteristics. The main objective of the system is to form meaningful image sequences for slideshows, with minimal user input. The intuitive interface allows the user to provide a personalized definition of image similarity, resulting in different image sequences, and making the system highly user-adaptable and flexible.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1289–1290},
numpages = {2},
keywords = {automatic slideshow, emotion estimation, people identification},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396447,
author = {Zhang, Richong and Guo, Xiaohui and Sun, Hailong and Huai, Jinpeng and Liu, Xudong},
title = {GTravel: A Global Social Travel System},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396447},
doi = {10.1145/2393347.2396447},
abstract = {This paper presents an global social travel system to assist tourists in their itinerary planning, tour navigation, and travel knowledge sharing. In particular, firstly, we propose an efficient and flexible itinerary planning algorithm for organizing itineraries. Secondly, we design an intelligent tour path planning and navigation system by mining patterns from trajectories and geo-photos shared by other tourists. Thirdly, we provide a framework to monitor the status and events that may affect the predefined itineraries. Finally, the social media module enhances the opportunities of experience (itinerary, trajectory, and travelogue) sharing and helps travelers make better decisions. Concrete demonstrations of our system are also provided in this paper to show the flexibility and applicability of our system.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1291–1292},
numpages = {2},
keywords = {travel package recommendation, trajectory mining, path navigation},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/3246415,
author = {Tian, Qi},
title = {Session Details: Technical Demo Session 2},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3246415},
doi = {10.1145/3246415},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396449,
author = {Horiuchi, Toshiharu and Sankoh, Hiroshi and Kato, Tsuneo and Naito, Sei},
title = {Interactive Music Video Application for Smartphones Based on Free-Viewpoint Video and Audio Rendering},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396449},
doi = {10.1145/2393347.2396449},
abstract = {This paper presents a novel interactive music video application for smartphones based on free-viewpoint video technology in conjunction with three-dimensional positional audio technology. A user can enjoy a music video from a moving viewpoint that the user can manipulate by the touch screen, with the positional audio through the headphone. A user can even manipulate the positions of the performers on the stage as well as the viewpoint. The application, consisting of our audio rendering engine for multiple AAC ADTS files and our video rendering engine for multiple H.264 ES files, runs on a smartphone in stand-alone mode. The application has been released as official content from a music label for Android and iOS.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1293–1294},
numpages = {2},
keywords = {tablet, head-related transfer function, smartphone, free-viewpoint video, three-dimensional positional audio},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396450,
author = {Liu, Fan and Tang, Jinhui and Zhao, Ruizhen and Tang, Zhenmin},
title = {Abnormal Behavior Recognition System for ATM Monitoring by RGB-D Camera},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396450},
doi = {10.1145/2393347.2396450},
abstract = {In this demo, we present an effective real-time system for ATM intelligent monitoring by using Kinect of Microsoft. With Kinect, we can easily detect people in ATM room and get their position information. By analyzing position information and video content, the system detects abnormal behaviors such as face-hiding, peeping and wandering, while records the time of these abnormal videos. Therefore, it not only prevents crimes but also helps to find suspects quickly after crimes have happened. The experimental results show that the system has the advantages of robustness, and provides a new mean for preventing financial crimes.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1295–1296},
numpages = {2},
keywords = {kinect, abnormal behavior, peep recognition, ATM, face-hiding},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396451,
author = {Fujisawa, Makoto and Amano, Toshiyuki and Taketomi, Takafumi and Yamamoto, Goshiro and Uranishi, Yuki and Miyazaki, Jun},
title = {Interactive Photomosaic System Using GPU},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396451},
doi = {10.1145/2393347.2396451},
abstract = {A photomosaic is a type of decorative art made up from various other photographs. We present a method for quickly generating photomosaics and propose an interactive recursive photomosaic system. Users can operate the system by using a large display with a touch input function, which allows them to alter the appearance of the image dynamically.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1297–1298},
numpages = {2},
keywords = {GPU, photomosaic},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396452,
author = {Bloess, Mark and Kim, Heung-Nam and El Saddik, Abdulmotaleb},
title = {PhacePhinder: Harnessing Social Networks to Build Social Face Databases for Mobile Devices},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396452},
doi = {10.1145/2393347.2396452},
abstract = {This demo presents a client-server application which collects images and personal information from social networks to build face recognition databases. The client runs on a mobile phone allowing any face captured by a mobile phone's camera to be identified. Using the personal information collected we give back the most meaningful social connection between the user and the recognized individual.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1299–1300},
numpages = {2},
keywords = {social network analysis, content recommendation, people tags, facebook, face recognition},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396453,
author = {Xie, Chengli and Wang, Jinqiao and Zhang, Yifan and Lu, Hanqing},
title = {Real-Time Multiple Object Instances Detection},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396453},
doi = {10.1145/2393347.2396453},
abstract = {In this paper, we present a novel, real-time multiple object instance detection system via template matching and pairwise classification. Instance detection aims to find and locate exactly the same object instances as specified. Our system is composed of two heterogeneous stages. The first stage adopts instance-specific detection to generate candidates. And the second stage makes use of a pairwise-based classifier across instance categories to test and verify these candidates with respect to templates. Experiments show the superiority of our approach.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1301–1302},
numpages = {2},
keywords = {multiple instances, pairwise classification, instance detection},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396454,
author = {Wu, Di and Zhu, Fan and Shao, Ling and Zhang, Hui},
title = {One Shot Learning Gesture Recognition with Kinect Sensor},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396454},
doi = {10.1145/2393347.2396454},
abstract = {Gestures are both natural and intuitive for Human-Computer-Interaction (HCI) and the one-shot learning scenario is one of the real world situations in terms of gesture recognition problems. In this demo, we present a hand gesture recognition system using the Kinect sensor, which addresses the problem of one-shot learning gesture recognition with a user-defined training and testing system. Such a system can behave like a remote control where the user can allocate a specific function using a prefered gesture by performing it only once. To adopt the gesture recognition framework, the system first automatically segments an action sequence into atomic tokens, and then adopts the Extended-Motion-History-Image (Extended-MHI) for motion feature representation. We evaluate the performance of our system quantitatively in Chalearn Gesture Challenge, and apply it to a virtual one shot learning gesture recognition system.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1303–1304},
numpages = {2},
keywords = {human-computer-interaction, hand gesture recognition, RGBD camera, one shot learning},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396455,
author = {Plant, William and Schaefer, Gerald},
title = {Interactive Exploration of Large Remote Image Databases},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396455},
doi = {10.1145/2393347.2396455},
abstract = {Mapping-based visualisations of image databases are well suited to users wanting to survey the overall content of a collection. Given the large amount of image data contained within such visualisations, however, this approach has yet to be applied to large image databases stored remotely. In this technical demonstration, we showcase our Web-Based Images Browser (WBIB). Our novel system makes use of image pyramids so that users can interactively explore mapping-based visualisations of large remote image databases.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1305–1306},
numpages = {2},
keywords = {visualisation, image databases, image retrieval},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396456,
author = {Ochi, Daisuke and Kimata, Hideaki and Noto, Hajime and Kojima, Akira},
title = {Scenario-Driven Interactive Panorama Video Delivery: Promptly Watch and Share Enjoyable Parts of an Event},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396456},
doi = {10.1145/2393347.2396456},
abstract = {We propose a scenario-driven interactive panorama video delivery system that allows users to repeatedly watch the enjoyable parts of an event and share them with others. It provides functions for interactively watching panorama video parts, as well as for scenario making (with user-selected camera trajectory), and delivery that allows users to share their panorama watching experiences. In this technical demos, we demonstrate the system that can make a favorable and stable camera trajectories as a scenario from intuitive user manipulations of a tablet device in a format that can be easily shared with others.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1307–1308},
numpages = {2},
keywords = {camera trajectory, panorama video, video stabilization, tablet manipulation},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396457,
author = {Zhou, Yinsheng and Monserrat, Toni-Jan Keith Palma and Wang, Ye},
title = {MOGAT: A Cloud-Based Mobile Game System with Auditory Training for Children with Cochlear Implants},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396457},
doi = {10.1145/2393347.2396457},
abstract = {Musical auditory habilitation is an essential process in adapting cochlear implant recipients to the musical hearing context provided by cochlear implants. However, due to the cost and time limitation, it is impossible for hearing healthcare professionals to provide intensive and extensive musical auditory habilitation for every cochlear implant recipient. In order to provide an efficient and cost-effective musical auditory training for children with cochlear implants, we designed and developed MObile Games with Auditory Training (MOGAT) on off-the-shelf mobile devices. MOGAT includes three intuitive and interesting mobile games for training pitch perception and production, and a cloud-based web service for music therapists to support and evaluate individual habilitation. We demonstrate MOGAT for enhancing musical habilitation for children with cochlear implants.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1309–1310},
numpages = {2},
keywords = {music, children, mobile, auditory habilitation, game, cochlear implant},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396458,
author = {Li, Zhonghua and Wang, Ye},
title = {A Domain-Specific Music Search Engine for Gait Training},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396458},
doi = {10.1145/2393347.2396458},
abstract = {This paper demonstrates a domain-specific music retrieval system to help music therapists find appropriate music for Parkinson's disease patients in their gait training. Different from existing music search engines, this system incorporates multiple music dimensions (i.e., tempo, cultural style, and beat strength) required in gait training, and facilitates the searching process by allowing music retrieval directly on these dimensions. To support music search by tempo, a user-perception based method is also proposed to improve state-of-the-art tempo estimation algorithms. We conducted a user study and evaluated the system efficacy in searching music using different types of queries based on these music dimensions. Experimental results demonstrate the effectiveness and usability of our system in therapeutic gait training.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1311–1312},
numpages = {2},
keywords = {domain-specific, gait training, music retrieval},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396459,
author = {Wang, Xinxi and Wang, Ye and Rosenblum, David},
title = {A Daily, Activity-Aware, Mobile Music Recommender System},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396459},
doi = {10.1145/2393347.2396459},
abstract = {Existing music recommender systems rely on collaborative filtering or content-based technologies to satisfy users' long-term music playing needs. Given the popularity of mobile music devices with rich sensing and wireless communication capabilities, we demonstrate in this demo a novel system to employ contextual information collected with mobile devices for satisfying users' short-term music playing needs. In our system, contextual information is integrated with music content analysis to offer recommendation for daily activities.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1313–1314},
numpages = {2},
keywords = {sensors, activity classification, context awareness, music recommendation, mobile computing},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396460,
author = {Yamada, Takayuki and Gohshi, Seiichi and Echizen, Isao},
title = {Use of Invisible Noise Signals to Prevent Privacy Invasion through Face Recognition from Camera Images},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396460},
doi = {10.1145/2393347.2396460},
abstract = {A method is proposed for preventing privacy invasion through unintentional capture of facial images. Prevention methods such as covering the face and painting particular patterns on the face are effective but hinder face-to-face communication. The proposed method overcomes this problem through the use of a device worn on the face that transmits near-infrared signals that are picked up by camera image sensors, which makes the face in captured images undetectable. The device is similar in appearance to a pair of eyeglasses, and the signals cannot be seen by the human eye, so face-to-face communication is not hindered. Testing of a prototype "privacy visor" showed that it can effectively prevent privacy invasion via face detection by corrupting the facial images.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1315–1316},
numpages = {2},
keywords = {face recognition, unintentional facial capture, privacy invasion, infrared LED},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396461,
author = {Zhang, Ying and Zimmermann, Roger},
title = {DVS: A Dynamic Multi-Video Summarization System of Sensor-Rich Videos in Geo-Space},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396461},
doi = {10.1145/2393347.2396461},
abstract = {It is now very easy to produce user generated videos (UGV) due to progress in camera and recording technologies on mobile devices, such as smartphones. Additionally, the ubiquitous, built-in sensors in digital devices can greatly enrich these videos with sensor descriptions, for example geo-spatial properties. A repository of such sensor-rich videos is a valuable source of information for prospective tourists when they plan to visit a city and would like to get a preview of its main attractions. Inspired by this, we have built an interactive geo-video search system. On a given map, a user specifies a start point and a destination and the system dynamically retrieves a video summarization along the path between the two points. Moreover, the user can interactively update the query during the video playback by dragging the route on the map. The main features of our technique are, first, that it is fully automatic and leverages sensor meta-data information which is acquired in conjunction with videos. Second, the system dynamically adapts to query updates in real-time. Third, a concise but comprehensive summarization from multiple user generated videos is presented for any queried route.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1317–1318},
numpages = {2},
keywords = {video summarization, sensor data mining, geo-tagging},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396462,
author = {Wang, Guanfeng and Seo, Beomjoo and Zimmermann, Roger},
title = {Motch: An Automatic Motion Type Characterization System for Sensor-Rich Videos},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396462},
doi = {10.1145/2393347.2396462},
abstract = {Camera motion information facilitates higher-level semantic description inference in many video applications, e.g., video retrieval. However, an efficient and accurate methodology for annotating videos with camera motion information is still an elusive goal. In our recent work we have investigated the fusion of captured video with a continuous stream of sensor meta-data. For these so-called sensor-rich videos we present a system, called Motch, which precisely partitions a video document into subshots, automatically characterizes the camera motions and provides video subshot browsing based on an interactive, map-based interface. Moreover, the system computes and presents motion type statistics for each video in real time and renders different subshots distinctively on the map synchronously with the video playback.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1319–1320},
numpages = {2},
keywords = {motion characterization, location sensors, mobile video, web services},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396463,
author = {Kitahara, Tetsuro and Kimura, Syohei and Suzuki, Yuu and Suzuki, Tomofumi},
title = {Hummi-Com: Humming-Based Music Composition System},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396463},
doi = {10.1145/2393347.2396463},
abstract = {In this paper, we propose a composition-by-humming system, called Hummi-Com, that automatically corrects musically inappropriate notes. Although various systems with a composition-by-humming function have been developed, it is difficult in practice for non-musicians to compose musically appropriate melodies with these systems due to the target user's insufficient skill at controlling pitch. In this paper, we propose note correction rules for avoiding such musically inappropriate outputs. This rule set is designed based on the idea of searching for a reasonable trade-off between removing dissonant nonchord tones and retaining musically acceptable nonchord tones.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1321–1322},
numpages = {2},
keywords = {music composition support, melody correction, composition-by-humming},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/3246416,
author = {Kato, Hirokazu},
title = {Session Details: Technical Demo Session 3},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3246416},
doi = {10.1145/3246416},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396465,
author = {Lu, Shiyang and Mei, Tao and Wang, Jingdong and Zhang, Jian and Wang, Zhiyong and Feng, David Dagan and Sun, Jian-Tao and Li, Shipeng},
title = {Browse-to-Search},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396465},
doi = {10.1145/2393347.2396465},
abstract = {This demonstration presents a novel interactive online shopping application based on visual search technologies. When users want to buy something on a shopping site, they usually have the requirement of looking for related information from other web sites. Therefore users need to switch between the web page being browsed and other websites that provide search results. The proposed application enables users to naturally search products of interest when they browse a web page, and make their even causal purchase intent easily satisfied. The interactive shopping experience is characterized by: 1) in session---it allows users to specify the purchase intent in the browsing session, instead of leaving the current page and navigating to other websites; 2) in context---the browsed web page provides implicit context information which helps infer user purchase preferences; 3) in focus---users easily specify their search interest using gesture on touch devices and do not need to formulate queries in search box; 4) natural-gesture inputs and visual-based search provides users a natural shopping experience. The system is evaluated against a data set consisting of several millions commercial product images.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1323–1324},
numpages = {2},
keywords = {user interaction, online shopping, visual search, gesture},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396466,
author = {Wang, Jing and Wang, Jingdong and Hua, Xian-Sheng and Li, Shipeng},
title = {Scalable Similar Image Search by Joint Indices},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396466},
doi = {10.1145/2393347.2396466},
abstract = {Text-based image search is able to return desired images for simple queries, but has limited capabilities in finding images with additional visual requirements. As a result, an image is usually used to help describe the appearance requirements. In this demonstration, we show a similar image search system that can support the joint textual and visual query. We present an efficient and effective indexing algorithm, neighborhood graph index, which is suitable for millions of images, and use it to organize joint inverted indices to search over billions of images.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1325–1326},
numpages = {2},
keywords = {joint inverted index, neighborhood graph index, similar image search},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396467,
author = {Wang, Peng and Zhang, Dongqing and Wang, Jingdong and Wu, Zhong and Hua, Xian-Sheng and Li, Shipeng},
title = {Color Filter for Image Search},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396467},
doi = {10.1145/2393347.2396467},
abstract = {Image search relying on surrounding texts can return reliably relevant images to some extent. Most recent efforts are focusing on utilizing visual contents to help users find images with specific visual requirements. In this demonstration, we show a color filter scheme for image search, which enables users to find images containing objects or scenes with their interested color. Color is one of the most crucial cues in describing visual contents and has been frequently used in various applications. The key components in developing our demo include salient object detection and perceptual color naming. The color filter in Microsoft Bing image search is developed using these techniques.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1327–1328},
numpages = {2},
keywords = {image search, color filter},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396468,
author = {Ercolessi, Philippe and Bredin, Herv\'{e} and S\'{e}nac, Christine},
title = {StoViz: Story Visualization of TV Series},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396468},
doi = {10.1145/2393347.2396468},
abstract = {Recent TV series tend to have more and more complex plot. They follow the lives of numerous characters and are made of multiple intertwined stories. In this paper, we introduce StoViz, a web-based interface allowing a fast overview of this kind of episode structure, based on our plot de-interlacing system. StoViz has two main goals. First, it provides the user with a useful overview of the episode by displaying each story separately and a short abstract extracted from them. Then, it allows an efficient visual comparison of the output of any automatic plot de-interlacing algorithm with the manual annotation in terms of stories and is therefore very helpful for evaluation purposes. StoViz is available online at http://stoviz.niderb.fr.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1329–1330},
numpages = {2},
keywords = {plot de-interlacing, non-linear browsing, visualization, evaluation},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396469,
author = {Nguyen, Tam V. and Li, Lusong and Tan, Jun and Yan, Shuicheng},
title = {3DME: 3D Media Express from RGB-D Images},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396469},
doi = {10.1145/2393347.2396469},
abstract = {Considering the continuously increasing availability and accessibility of 3D media and the depth camera such as Kinect, we demonstrate an innovative 3D media system called 3DME. The objective of this demo is three-fold. First, the demo exhibits the creation of 3D images from RGB-D images. Second, 3DME allows a user to insert impressive effects to the produced 3D content. Last but not least, our demo is one of the first attempts towards advertising for 3D content which enables both the advertisers and content providers deliver more effective ads carried through 3D media.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1331–1332},
numpages = {2},
keywords = {3D media, depth information, 3D advertising},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396470,
author = {Liu, Si and Nguyen, Tam V. and Feng, Jiashi and Wang, Meng and Yan, Shuicheng},
title = {Hi, Magic Closet, Tell Me What to Wear!},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396470},
doi = {10.1145/2393347.2396470},
abstract = {In this demo, we present a practical system, magic closet, for automatic occasion-oriented clothing pairing. Given a user-input occasion, e.g., wedding or shopping, the magic closet intelligently and automatically pairs the user-specified reference clothing (upper-body or lower-body) with the most suitable one from online shops. Two key criteria are explicitly considered for the magic closet system. One criterion is to wear properly, e.g., compared to suit pants, it is more decent to wear a cocktail dress for a banquet occasion. The other criterion is to wear aesthetically, e.g., a red T-shirt matches better white pants than green pants. To narrow the semantic gap between the low-level visual features and the high-level occasion categories, we propose to adopt middle-level clothing attributes (e.g., clothing category, color, pattern) as a bridge. More specifically, the clothing attributes are treated as latent variables in our proposed latent Support Vector Machine (SVM) based recommendation model. The wearing properly criterion is described through a feature-occasion potential and an attribute-occasion potential, while the wearing aesthetically criterion is expressed by an attribute-attribute potential.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1333–1334},
numpages = {2},
keywords = {occasion oriented clothing pairing, latent SVM},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396471,
author = {Liu, Si and Song, Zheng and Wang, Meng and Xu, Changsheng and Lu, Hanqing and Yan, Shuicheng},
title = {Street-to-Shop: Cross-Scenario Clothing Retrieval via Parts Alignment and Auxiliary Set},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396471},
doi = {10.1145/2393347.2396471},
abstract = {We address a cross-scenario clothing retrieval problem- given a daily human photo captured in general environment, e.g., on street, finding similar clothing in online shops, where the photos are captured more professionally and with clean background. There are large discrepancies between daily photo scenario and online shopping scenario. We first propose to alleviate the human pose discrepancy by locating 30 human parts detected by a well trained human detector. Then, founded on part features, we propose a two-step calculation to obtain more reliable one-to-many similarities between the query daily photo and online shopping photos: 1) the within-scenario one-to-many similarities between a query daily photo and an extra auxiliary set are derived by direct sparse reconstruction; 2) by a cross-scenario many-to-many similarity transfer matrix inferred offline from the auxiliary set and the online shopping set, the reliable cross-scenario one-to-many similarities between the query daily photo and all online shopping photos are obtained.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1335–1336},
numpages = {2},
keywords = {latent SVM, clothing recommendation, clothing pairing},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396472,
author = {Ye, Junfeng and Chen, Jia and Chen, Zejia and Zhu, Yihe and Bao, Shenghua and Su, Zhong and Yu, Yong},
title = {Searching for Diversified Landmarks by Photo},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396472},
doi = {10.1145/2393347.2396472},
abstract = {This demo focuses on the problem of searching for diversified landmarks with photos as input. More particularly, we propose a system called DLMSearch that allows a user to upload a photo as a query and searches for a diverse set of relevant landmarks in real time. It also presents a photo summary for each retrieved landmark, considering both visual representativeness and diversity. Our online demo is available at http://lm.apexlab.org/landmark/demo.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1337–1338},
numpages = {2},
keywords = {visual summary, landmark search, diversity, content-based image retrieval},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396473,
author = {Zhang, Hanwang and Zha, Zheng-Jun and Bian, Jingwen and Gao, Yue and Luan, Huanbo and Chua, Tat-Seng},
title = {Attribute Feedback},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396473},
doi = {10.1145/2393347.2396473},
abstract = {This demonstration presents a new interactive Content Based Image Retrieval (CBIR) system, termed Attribute Feedback (AF). Unlike traditional relevance feedback purely founded on low-level features, AF system shapes user's search intents more precisely and quickly by collecting feedbacks on intermediate-level semantic attribute. At each interaction iteration, the AF system first determines the most informative binary attributes for feedbacks and then augments the binary attribute feedbacks by a new type of attributes, "affinity attributes", each of which is learnt offline to describe the distance/similarity between user's envisioned image(s) and a retrieved image with respect to the corresponding affinity attribute. Based on the feedbacks on binary and affinity attributes, the images in corpus are further re-ranked towards better fitting user's search intents. The experimental results on two real-world image datasets have demonstrated the superiority of the AF system over other state-of-the-art relevance feedback based CBIR approaches.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1339–1340},
numpages = {2},
keywords = {relevance feedback, attribute feedback, image search},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396474,
author = {Tankoyeu, Ivan and St\"{o}ttinger, Julian and Paniagua, Javier and Giunchiglia, Fausto},
title = {Personal Photo Indexing},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396474},
doi = {10.1145/2393347.2396474},
abstract = {Sorting one's own private photo collection is a time consuming and tedious task. We demonstrate our event-centered approach to perform this task fully automatically. In the course of the demonstration, we either use our own photo collections, or invite the conference visitors to bring their own cameras and photos. We will sort the photos into a semantically meaningful hierarchy for the users within a couple of minutes. Events as a media aggregator allow a user to manage and annotate a photo collection in more convenient and natural to the human being way. Based on the recognized user behavior the application is able to reveal the nature of an event and build its hierarchy with a event/sub-event relationship. One important prerequisite of our approach is a precise GPS based spatial annotation of the photos. To accommodate for devices without GPS chips or temporary low GPS perception, we propose an approach to enrich the collection with automatically estimated GPS data by semantically interpolating possible routes of the user. We are positive that we can provide a well received service for the conference visitors, especially since the conference venue will trigger a lot of memorable photos. Large scale experimental validation showed that the approach is able to recreate a user's desired hierarchy with an F-measure of about 0.8.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1341–1342},
numpages = {2},
keywords = {photo context analysis, event-based indexing, personal photo collection},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396475,
author = {Zhou, Rong and Chen, Liuli and Zhang, Liqing},
title = {Guess What You Draw: Interactive Contour-Based Image Retrieval on a Million-Scale Database},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396475},
doi = {10.1145/2393347.2396475},
abstract = {We propose a real-time image retrieval system which allows users to search target images whose objects are similar to the query in contour, regardless of their sizes and positions appearing in the images. Even in a complicated scene, as long as the object's contour is most salient in the target image, the system is still able to capture it and lists the image in the retrieval results. Therefore, the system has better retrieval rate than existing systems and algorithms. One typical application of the proposed system is to help the computer understand what does the user draw or upload. It is based on the statistical distributions of tags of retrieved images, and the proposed system feeds back some candidate tags related to the query image. Such tags could be used for further retrieval to refine the result list. In addition, the system provides a friendly interactive interface with multiple queries. These queries are from different combinations of tags, a hand-drawn sketch and a natural image, and could help users search images flexibly and conveniently. The system runs on a database of 1.3 million images and could achieve a real-time retrieval speed. The results in the demonstration show excellent retrieval performance of the proposed system.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1343–1344},
numpages = {2},
keywords = {image retrieval, million-scale, contour, sketch},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396476,
author = {Zhang, Wei and Pang, Lei and Ngo, Chong-Wah},
title = {FashionAsk: Pushing Community Answers to Your Fingertips},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396476},
doi = {10.1145/2393347.2396476},
abstract = {We demonstrate a multimedia-based question-answering system, named FashionAsk, by allowing users to ask questions referring to pictures snapped by mobile devices. Specifically, instead of asking verbose questions to depict visual instances, direct pictures are provided as part of questions. To answer these multi-modal questions, FashionAsk performs a large-scale instance search to infer the names of instances, and then matches with similar questions from community-contributed QA websites as answers. The demonstration is conducted on a million-scale dataset of Web images and QA pairs in the domain of fashion products. Asking a multimedia question through FashionAsk can take as short as five seconds to retrieve the candidate answer as well as suggested questions.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1345–1346},
numpages = {2},
keywords = {instance naming, question matching, multimedia question answering},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396477,
author = {Jiang, Yu-Gang and Dai, Qi and Zheng, Yingbin and Xue, Xiangyang and Liu, Jie and Wang, Dong},
title = {A Fast Video Event Recognition System and Its Application to Video Search},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396477},
doi = {10.1145/2393347.2396477},
abstract = {Techniques for recognizing complex events in diverse Internet videos are important in many applications. State-of-the-art video event recognition approaches normally involve modules that demand extensive computation, which prevents their application to large scale problems. In this demonstration, we present a fast video event recognition system, which requires just a few seconds to process a general YouTube video with a few minutes of duration. The development of this system is grounded on several important findings from a large set of empirical studies, where we systematically evaluated many technical options for each critical module of a present-day video event recognition framework. Pooling the insights gained from this study leads to a speeded-up event recognition system that is 220-times faster than a decent baseline while still has a high degree of recognition accuracy. We also demonstrate the technical feasibility of using event recognition results as the sole clue for video search, where the similarity of videos is determined based on the consistency of the event recognition confidence scores. We showcase this capability using an Internet video dataset containing about 10 thousands of YouTube videos. Very promising results were observed.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1347–1348},
numpages = {2},
keywords = {internet videos, fast video event recognition, speed efficiency, video search},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396478,
author = {Bertini, Marco and Del Bimbo, Alberto and Ferracani, Andrea and Pezzatini, Daniele},
title = {Social and Automatic Annotation of Videos for Semantic Profiling and Content Discovery},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396478},
doi = {10.1145/2393347.2396478},
abstract = {This demo presents a system based on social relationships, social knowledge and automatic video and textual content analysis for the discovery of videos in social networks. The system, developed as a web application, allows users to annotate, manually and automatically, and comment video frames and scenes enriching their content with tags, references to Facebook users and pages and Wikipedia resources. These annotations are used to semantically model the profile of each user extracting and expanding his interests and folksonomy, as well as resources of interest in his social graph. The automatically generated profile page is used to suggest to users new resources, Facebook friends and videos whose content is related to their interests and allows profile curation. A screencast showing an example of these functionalities is publicly available at: http://vimeo.com/miccunifi/facetube},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1349–1350},
numpages = {2},
keywords = {social video retrieval, internet videos, social video tagging},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/3246417,
author = {Worring, Marcel and Jing, Yushi},
title = {Session Details: Multimedia Grand Challenge},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3246417},
doi = {10.1145/3246417},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396480,
author = {Joly, Alexis and Champ, Julien and Letessier, Pierre and Herv\'{e}, Nicolas and Buisson, Olivier and Viaud, Marie-Luce},
title = {Visual-Based Transmedia Events Detection},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396480},
doi = {10.1145/2393347.2396480},
abstract = {This paper presents a visual-based media event detection system based on the automatic discovery of the most circulated images across the main news media (news websites, press agencies, TV news and newspapers). Its main originality is to rely on the transmedia contextual information to denoise the raw visual detections and consequently focus on the most salient transmedia events.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1351–1352},
numpages = {2},
keywords = {transmedia, event detection, mining},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396481,
author = {Chen, Hsuan-Sheng and Tsai, Wen-Jiin},
title = {Technicolor Challenge: An Event Classification Framework by Probabilistic Context Modeling of Multimodal Features},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396481},
doi = {10.1145/2393347.2396481},
abstract = {Semantic high-level event recognition of videos is one of most interesting issues for multimedia searching and indexing. Since high-level events are usually domain-specific, a generic framework which can adapt itself to new domains without or with a few modifications is needed. To this end, this paper presents a generic framework for video event classification using temporal context of interval-based multimodal features. In the framework, a co-occurrence symbol transformation method is proposed to explore full temporal relations among multiple modalities in probabilistic HMM event classification. The results of our experiments on baseball video event classification demonstrate the superiority of the proposed approach.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1353–1354},
numpages = {2},
keywords = {co-occurrence symbol, multimodal feature, semantics, interval-based representation, probabilistic modeling, temporal relation, HMM, multivariate temporal data classification, event classification},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396482,
author = {Bansal, Romil and Kumaran, Radhika and Mahajan, Diwakar and Khurdiya, Arpit and Dey, Lipika and Ghosh, Hiranmay},
title = {TWIPIX: A Web Magazine Curated from Social Media},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396482},
doi = {10.1145/2393347.2396482},
abstract = {This paper describes a method to identify events being vigorously discussed on social media and to present them in the form of a web-based daily magazine. Tweet texts and hyperlinked information sources, such as images and news articles, are analyzed to discover the events. The events are selected for presentation using an "interestingness factor", which combines several facets of the discussions surrounding the events. The events are correlated based on their content similarity.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1355–1356},
numpages = {2},
keywords = {event, Olympics, web magazine, tweet},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396483,
author = {Bao, Bing-Kun and Min, Weiqing and Sang, Jitao and Xu, Changsheng},
title = {Multimedia News Digger on Emerging Topics from Social Streams},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396483},
doi = {10.1145/2393347.2396483},
abstract = {With the overwhelming information from social media networks and news portals, it is crucial to provide users a complete package of visual and textual information with popular interests automatically. To this concern, we present a news detection and pushing system, called Me-Digger (Multimedia News Digger), which not only effectively detects emerging topics from social streams but also provides the corresponding information in multiple modalities. Me-digger is the first systematic effort to leverage three sources of data, that is, Twitter, Flickr and Google news, to output with vivid visual and textual contents on emerging topics. Enabled by a novel general-structured high-order co-clustering approach, it has a more accurate detection of emerging topics compared to the existing methods on micro-blog social streams.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1357–1358},
numpages = {2},
keywords = {emerging topic detection, co-clustering, cross media},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396484,
author = {Wang, Zhiyu and Cui, Peng and Xie, Lexing and Chen, Hao and Zhu, Wenwu and Yang, Shiqiang},
title = {Analyzing Social Media via Event Facets},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396484},
doi = {10.1145/2393347.2396484},
abstract = {Microblog is a prominent information platform for sharing experiences, discussing current events, and exchanging ideas. Many events are first reported in social media, and increasing amounts of rich-media content are associated with the posts, making them more credible and attractive. We design a rich-media analysis system to address the important challenge of sensing and exploring events from social media in real-time. The system includes a novel bilateral correspondence topic model to extract representative content and meaningful facets about events over time. It also includes a digital magazine that anchors user interactions with event facets. We demonstrate several examples from more than 4 million rich media microblogs, showing the effectiveness of key content extraction and natrual interactions with facets.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1359–1360},
numpages = {2},
keywords = {multi-modal microblog, BC-LDA, automatic layout},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396485,
author = {Chan, Yin-Tzu and Hsu, Hao-Chen and Li, Po-Yi and Yeh, Mei-Chen},
title = {Automatic Cinemagraphs for Ranking Beautiful Scenes},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396485},
doi = {10.1145/2393347.2396485},
abstract = {This work addresses the NHK challenge that aims at automatic recognition of beautiful scenes in broadcast programs. We propose a method that can be used to automatically extract beautiful scenes from videos and rank the scenes in terms of beauty. In particular, we introduce cinemagraphs as an alternative manner for presenting beautiful scenes, and a notion of beauty based on the presence of interesting motions. The method is fully automatic, requires no training phase, and produces beautiful scene cinemagraphs as by-products.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1361–1362},
numpages = {2},
keywords = {beauty, cinemagraph, aesthetic quality assessment},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396486,
author = {Redi, Miriam and Merialdo, Bernard},
title = {Where is the Beauty? Retrieving Appealing VideoScenes by Learning Flickr-Based Graded Judgments},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396486},
doi = {10.1145/2393347.2396486},
abstract = {In this paper we describe a system that automatically extracts appealing scenes from a set of broadcasting videos. Unlike traditional computational aesthetic models that try to predict the hardly measurable degree of "beauty", we chose to build a system that retrieves "interesting" scenes. We create a training database of Flickr images annotated with their corresponding Flickr "interestingness" degree. We then extract existing and novel aesthetic/semantic features from the training set. Based on such features, we build a graded-relevance "interestingness" model and we rank the test shots according to their predicted "interestingness".},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1363–1364},
numpages = {2},
keywords = {image aesthetics, interestingness, semantic indexing},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396487,
author = {Li, Bing and Feng, Songhe and Xiong, Weihua and Hu, Weiming},
title = {Scaring or Pleasing: Exploit Emotional Impact of an Image},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396487},
doi = {10.1145/2393347.2396487},
abstract = {Automatic image emotion analysis has emerged as a hot topic due to its potential application on high-level image understanding. Considering the fact that the emotion evoked by an image is not only from its global appearance but also interplays among local regions, we propose a novel affective image classification system based on bilayer sparse representation (BSR). The BSR model contains two layers: The global sparse representation (GSR) is to define global similarities between a test image and all the training images; and the local sparse representation (LSR) is to define similarities of local regions' appearances and their co-occurrence between a test image and all the training images. The experiments on real data sets demonstrate that our system is effective on image emotion recognition.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1365–1366},
numpages = {2},
keywords = {affective image classification, bilayer sparse representation},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396488,
author = {Lux, Mathias and Taschwer, Mario and Marques, Oge},
title = {Classification of Photos Based on Good Feelings: ACM MM 2012 Multimedia Grand Challenge Submission},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396488},
doi = {10.1145/2393347.2396488},
abstract = {Many photo-taking scenarios have emotional triggers such as happiness, joy, or in general a "good feeling". In this paper we postulate that if a photo was taken to preserve a good feeling, it will most likely trigger a good feeling when re-visiting the photo later on. We present an approach to classify photos and decide automatically whether they have been taken to preserve a good feeling or not. We employ an annotated data set to create a model and apply this model to enhance classical image search. The result is a novel search approach, demonstrated by a proof-of-concept application capable of performing keyword-based search and filtering out the results that are considered unlikely to convey a good feeling to the viewer.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1367–1368},
numpages = {2},
keywords = {affection, image classification, image search, user intentions},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396489,
author = {Wang, Xiaohui and Jia, Jia and Hu, Peiyun and Wu, Sen and Tang, Jie and Cai, Lianhong},
title = {Understanding the Emotional Impact of Images},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396489},
doi = {10.1145/2393347.2396489},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1369–1370},
numpages = {2},
keywords = {social networks, emotional impact, prediction model},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396490,
author = {Vonikakis, Vassilios and Winkler, Stefan},
title = {Emotion-Based Sequence of Family Photos},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396490},
doi = {10.1145/2393347.2396490},
abstract = {This paper presents a method for the automatic creation of slideshows from family photo collections based on the emotions of a given group of people. The user specifies the desired person(s) to be included in the slideshow. A natural image sequence is formed based on people's emotions and several other, user-defined image similarity attributes, in order to form meaningful slideshow transitions. This process makes use of a new image dissimilarity function, which can integrate various attribute combinations and preferences, making the system highly user-adaptable and flexible.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1371–1372},
numpages = {2},
keywords = {automatic slideshow, people identification, emotion estimation},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396491,
author = {Liu, Zhenbao and Tang, Sicong and Qin, Hongliang and Bu, Shuhui},
title = {Evaluating User's Energy Consumption Using Kinect Based Skeleton Tracking},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396491},
doi = {10.1145/2393347.2396491},
abstract = {By utilizing the dataset provided by 3DLife/Huawei Challenge of ACM Multimedia, we propose a refreshing application that automatically evaluates player's energy consumption in gaming scenarios by a model with tracked skeleton, which may help users to know their exercise effects and even diet or reduce their weights. We develop a program to compute the energy consumption in real time by analyzing data captured from Microsoft Kinect, and also give a cue in the dynamic interaction. We model 3D human skeleton by joining different body parts with 15 nodes, and decompose player action into rigid body motions of these parts. Amount of energy consumed in the action is calculated as the sum of powers required to overcome gravity of each part. Experimental results show that instantaneous and total energy consumption of different dancers can be stably calculated. The hardware system is based on low-price Kinect, and easily accepted by users. The proposed application also provides a quantitative approach which help users to control their dining and exercise intensity.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1373–1374},
numpages = {2},
keywords = {energy consumption, skeleton tracking, kinect},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396492,
author = {Liutkus, Antoine and Dremeau, Ang\'{e}lique and Alexiadis, Dimitrios and Essid, Slim and Daras, Petros},
title = {Analysis of Dance Movements Using Gaussian Processes: Extended Abstract},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396492},
doi = {10.1145/2393347.2396492},
abstract = {This work addresses the Huawei/3DLife Grand Challenge, presenting a novel method for the analysis of dance movements. The approach focuses on the decomposition of the dance movements into elementary motions. Placing this problem into a probabilistic framework, we propose to exploit Gaussian processes to accurately model the different components of the decomposition. The preliminary results, presented in this paper, are very promising. In particular, two applications are considered, illustrating the relevance of the proposed approach, namely the correction of tracking errors and the smoothing of some movements of the teacher to help toward the dance learning.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1375–1376},
numpages = {2},
keywords = {dance analysis, gaussian process, 3Dlife, interactive environments, grand challenge},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396493,
author = {Yu, Yi and Shen, Zhijie and Zimmermann, Roger},
title = {Automatic Music Soundtrack Generation for Outdoor Videos from Contextual Sensor Information},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396493},
doi = {10.1145/2393347.2396493},
abstract = {We present a system to automatically generate soundtracks for user-generated outdoor videos (UGV) based on concurrently captured contextual sensor information with mobile apps for the ACM Multimedia 2012 Google challenge: Automatic Music Video Generation. Our method addresses the use case of making "a video much more attractive for sharing by adding a matching soundtrack to it." Our system correlates viewable scene information from sensors with geographic contextual tags from OpenStreetMap. The co-occurance of geo-tags and mood tags are investigated from a set of categories of the web site Foursquare.com and a mapping from geo-tags to mood tags is obtained. Finally, a music retrieval component returns music based on matching mood tags. The experimental results show that our system can successfully create soundtracks that are related to the mood and situation of UGVs and therefore enhance the enjoyment of viewers. Our system sends only sensor data to a cloud service and is therefore bandwidth efficient since video data does not need to be transmitted for analysis.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1377–1378},
numpages = {2},
keywords = {music mood, music soundtrack generation, geographic tagging, location sensors, location-mood categories, mobile videos},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396494,
author = {Wang, Ju-Chiang and Yang, Yi-Hsuan and Jhuo, I-Hong and Lin, Yen-Yu and Wang, Hsin-Min},
title = {The Acousticvisual Emotion Guassians Model for Automatic Generation of Music Video},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396494},
doi = {10.1145/2393347.2396494},
abstract = {This paper presents a novel content-based system that utilizes the perceived emotion of multimedia content as a bridge to connect music and video. Specifically, we propose a novel machine learning framework, called Acousticvisual Emotion Guassians (AVEG), to jointly learn the tripartite relationship among music, video, and emotion from an emotion-annotated corpus of music videos. For a music piece (or a video sequence), the AVEG model is applied to predict its emotion distribution in a stochastic emotion space from the corresponding low-level acoustic (resp. visual) features. Finally, music and video are matched by measuring the similarity between the two corresponding emotion distributions, based on a distance measure such as KL divergence.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1379–1380},
numpages = {2},
keywords = {cross-modal media retrieval, emotion recognition},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396495,
author = {Wu, Xixuan and Xu, Bing and Qiao, Yu and Tang, Xiaoou},
title = {Automatic Music Video Generation: Cross Matching of Music and Image},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396495},
doi = {10.1145/2393347.2396495},
abstract = {Music and image are two most popular media on the Internet. Human perception of music and image are highly correlated. Music video is one of such products, in which music and image are complement to each other. In this paper, we present a system which can automatically generate music video for a given song. The challenge of such system comes from how to select relative images and align them with the song. This paper deals with this challenge by leveraging lyrics (if exists) and the semantic similarity between music and image. We retrieve related image in internet with lyrics keyword as query and use a learning based method to estimate a semantic score between an image and a music segment. Finally we construct a music video after quality filtering and refinement. Our system also allows users to upload their images and re-pick recommended images to personalize the music video.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1381–1382},
numpages = {2},
keywords = {music video generation, music-image similarity estimation, multiple ranking canonical correlation analysis},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396496,
author = {Liem, Cynthia C. S. and Bazzica, Alessio and Hanjalic, Alan},
title = {MuseSync: Standing on the Shoulders of Hollywood},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396496},
doi = {10.1145/2393347.2396496},
abstract = {In this extended abstract, we present a novel story-driven approach to soundtrack retrieval for user-generated videos. Cinematic knowledge on cross-modal associations is exploited through folksonomic story text retrieval from collaborative online metadata resources. Subsequently, audiovisual synchronization is applied based on high-level features described by users. The approach is demonstrated in the MuseSync prototype system.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1383–1384},
numpages = {2},
keywords = {popular media, multimodal techniques, audiovisual synchronization, web video, folksonomy, cross-modal connotation},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/3246418,
author = {Ngo, Chong-Wah and Yanai, Keiji},
title = {Session Details: Doctoral Symposium Session 1: Best Paper Session},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3246418},
doi = {10.1145/3246418},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396498,
author = {Chen, Yan-Ying},
title = {People Search and Activity Mining in Large-Scale Community-Contributed Photos},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396498},
doi = {10.1145/2393347.2396498},
abstract = {A growing number of users are contributing a huge amount of photos containing people (e.g., family, classmates, colleagues, etc.) to social media for the purpose of photo sharing and social communication. There arises a strong need for automatically analyzing the people shown in large-scale photos because these visual data comprise abundant consumer activities which greatly benefit demographic analysis and enhance marketing research. In this work, we aim at learning facial attributes (gender, race, age, etc.) by these publicly available photos and exploiting the detected facial attributes for locating designated persons, profiling user preferences and predicting social group types. In addition, community-contributed data possess rich contexts such as tags, geo-locations and time stamps, which strongly correlate with user intentions and preferences. The knowledge would be informative to actively refine the recognition models and promising towards improvement of photo management, personalized recommendation and social networking. Most importantly, this framework effectively relieves costly annotation efforts and ensures scalability for large-scale media.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1385–1388},
numpages = {4},
keywords = {personalized recommendation, image retrieval, social subgraphs, facial attributes},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396499,
author = {Zhang, John R.},
title = {Upper Body Gestures in Lecture Videos: Indexing and Correlating to Pedagogical Significance},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396499},
doi = {10.1145/2393347.2396499},
abstract = {The growth of digitally recorded educational lectures has led to a problem of information overload. Semantic video browsers present one solution whereby content-based features are used to highlight points of interest. We focus on the domain of single-instructor lecture videos. We hypothesize that arm and upper body gestures made by the instructor can yield significant pedagogic information regarding the content being discussed such as importance and difficulty. Furthermore, these gestures may be classified, automatically detected and correlated to pedagogic significance (e.g., highlighting a subtopic which may be a focal point of a lecture). This information may be used as cues for a semantic video browser. We propose a fully automatic system which, given a lecture video as input, will segment the video into gestures and then identify each gesture according to a refined taxonomy. These gestures will then be correlated to a vocabulary of significance. We also plan to extract other features of gestures such as speed and size and examine their correlation to pedagogic significance. We propose to develop body part recognition and temporal segmentation techniques to aid natural gesture recognition. Finally, we plan to test and verify the efficacy of this hypothesis and system on a corpus of lecture videos by integrating the points of pedagogic significance as indicated by the gestural information into a semantic video browser and performing user studies. The user studies will measure the accuracy of the correlation as well as the usefulness of the integrated browser.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1389–1392},
numpages = {4},
keywords = {pedagogy, body model, gesture, lecture, pose},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396500,
author = {Yonetani, Ryo},
title = {Modeling Video Viewing Behaviors for Viewer State Estimation},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396500},
doi = {10.1145/2393347.2396500},
abstract = {Human gaze behaviors when watching videos reflect their cognitive states as well as characteristics of the video scenes being watched. Our goal is to establish a method to estimate the viewer states from his/her eye movements toward general videos, such as TV news and commercials. The proposed method is based on a novel model of video viewing behaviors, which takes into account structural and statistical relationships between video dynamics, gaze dynamics and viewer states. This model realizes statistical learning of gaze information while considering dynamic characteristics of video scenes to achieve viewer-state estimation. In this paper, we present an overview of the viewer-state estimation method based on the model of video-viewing behaviors, including several past work done by the author's team.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1393–1396},
numpages = {4},
keywords = {saliency dynamics, gaze behavior, viewer state estimation},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396501,
author = {Zhao, Zhen Wei},
title = {Challenges in Supporting Non-Linear and Non-Continuous Media Access in P2P Systems},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396501},
doi = {10.1145/2393347.2396501},
abstract = {With the proliferation of interactive media, non-linear and non-continuous media accesses have become a norm. Examples of such interactive media include video-on-demand, massive multiplayer virtual environments, massively multiplayer online game, zoomable video, Google Earth, and free-viewpoint video. To enable scalable delivery of these media contents to potentially millions of users, P2P architecture is often adopted. Non-linear and non-continuous user access pattern, however, pose new challenges on P2P interactive media streaming systems. These challenges include the need of more sophisticated prefetching scheme, increasing server load, high demand for short content discovery time, and difficulty of bandwidth allocation. We first try to understand the effect of non-linear and non-continuous media access on the streaming system performance, in particular, the server load, through analytical modeling. Then a novel user access pattern driven content discovery mechanism is proposed to address the content discovery challenge during non-continuous access. Works aiming at the rest of challenges are ongoing.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1397–1400},
numpages = {4},
keywords = {non-linear access pattern, user interaction, peer-to-peer, non-continuous access pattern, streaming},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/3246419,
author = {Ngo, Chong-Wah and Yanai, Keiji},
title = {Session Details: Doctoral Symposium 2: Oral Paper Session},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3246419},
doi = {10.1145/3246419},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396503,
author = {Yousefi, Shahrouz},
title = {3D Photo Browsing for Future Mobile Devices},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396503},
doi = {10.1145/2393347.2396503},
abstract = {By introducing the interactive 3D photo/video browsing and exploration system, we propose novel approaches for handling the limitations of the current 2D mobile technology from two aspects: interaction design and visualization. Our contributions feature an effective interaction that happens in the 3D space behind the mobile device's camera. 3D motion analysis of the user's gesture captured by the device's camera is performed to facilitate the interaction between users and multimedia collections in various applications. This approach will solve a wide range of problems with the current input facilities such as miniature keyboards, tiny joysticks and 2D touch screens. The suggested interactive technology enables users to control, manipulate, organize, and re-arrange their photo/video collections in 3D space using bare-hand, marker-less gesture. Moreover, with the proposed techniques we aim to visualize the 2D photo collection, in 3D, on normal 2D displays. This process is automatically done by retrieving the 3D structure from single images, finding the stereo/multiple views of a scene or using the geo-tagged meta-data from huge photo collections. By using the design and implementation of the contributions of this work, we aim to achieve the following goals: Solving the limitations of the current 2D interaction facilities by 3D gestural interaction; Increasing the usability of the multimedia applications on mobile devices; Enhancing the quality of user experience with the digital collections.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1401–1404},
numpages = {4},
keywords = {photo browsing, 3D visualization, motion analysis, 3D gestural interaction, quality of experience},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396504,
author = {Walber, Tina},
title = {Making Use of Eye Tracking Information in Image Collection Creation and Region Annotation},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396504},
doi = {10.1145/2393347.2396504},
abstract = {The goal of this work is to implicitly gain information about images from human eye movements and to use this information to improve the handling of images. Users' points of gaze are measured with an eye tracker while they are viewing or tagging images. By means of the gaze data, image selections will be created automatically and tags will be assigned to specific image regions. So far, we have shown that one can assign given tags to regions in a manually segmented image.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1405–1408},
numpages = {4},
keywords = {segmentation, region labeling, image collection, eye tracking},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396505,
author = {Lin, Yen-Liang},
title = {Investigating 3D Model and Part Information for Improving Content-Based and Attribute-Based Object Retrieval},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396505},
doi = {10.1145/2393347.2396505},
abstract = {Content-based and attribute-based image/object retrieval are the key techniques for managing and analyzing the exponentially growing media collections. However, due to large variations in viewing angle/position, illumination, occlusion, and background, traditional object retrieval is extremely challenging. This article discusses an ongoing research in investigating the value of 3D models and informative parts for the object retrieval system. To show the feasibility of the proposed method, we apply it to the problem of multi-view vehicle retrieval. Preliminary results on vehicle retrieval demonstrate that our approach significantly outperforms the prior content-based image retrieval (CBIR) methods. Motivated by the proposed method, we are now extending the framework to attribute-based retrieval system over other domains (e.g., people) with 3D information augmented by Kinect devices.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1409–1412},
numpages = {4},
keywords = {vehicle retrieval, 3D vehicle model fitting, part rectification},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396506,
author = {Roodaki, Hoda},
title = {An Adaptive Framework for Scalable Multi-View Video Coding for the H.264/AVC Standard},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396506},
doi = {10.1145/2393347.2396506},
abstract = {Multi-view 3D video is currently attracting growing attention in several applications such as the 3DTV, free-view point video and entertainment industry where it can be used to provide multi-perspective viewing and 3D scene experiences. In multi-view 3D video, several 3D video sequences should be captured simultaneously from the same scene but through different viewing angles. One of the major challenges in this field is how to transmit the large amount of data of a multi-view 3D video sequence over error prone channels to heterogeneous devices with different bandwidth, resolution, and processing power, while maintaining a high visual quality. Scalable Multi-view 3D Video Coding (SMVC) is one of the methods to address this challenge. But there are many difficulties in SMVC that makes it impractical in most 3D video applications. In this work, we propose an adaptive framework to use SMVC in various 3D video applications effectively. The current prototype shows enhanced capability in handling the existing 3D video applications.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1413–1416},
numpages = {4},
keywords = {scalable multi-view 3D video quality assessment, rate control, SMVC data assignment, scalable modalities},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396507,
author = {Shen, Yun-Chung},
title = {Distributed Video Coding with Improved Side Information Refinement and Parallelized Architecture Design},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396507},
doi = {10.1145/2393347.2396507},
abstract = {Despite gaining certain improvements in coding performances recently, the effectiveness (in terms of rate-distortion) and the efficiency (in terms of decoding speed) of the existing Wyner-Ziv (WZ) codecs are far behind that of the state-of-the-art prediction-based video coding standards. In other words, for decades, the poor RD performance and the high coding delay hinder WZ codecs from being applied to practical applications. To respond to the above challenges, an effective and efficient WZ video coding architecture, referred to herein as "Improved Side Information and Parallelized Design" (ISIPaD) for distributed video coding (DVC), is proposed and realized to enhance the RD performance and the execution speed at the same time. This work details the proposed coding scheme and shows its RD superiority over the related works. With much enhanced performances in both rate distortion (up to 3.6dB in RD measures) and execution time (60.97 times faster in speed), as compared with those of the state-of-the-art WZ video codecs, our work demonstrates a great potential for DVC being applied to real applications in the near future.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1417–1420},
numpages = {4},
keywords = {distributed video coding, Wyner-Ziv video coding, side information refinement, block mode selection},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/3246420,
author = {Ngo, Chong-Wah and Yanai, Keiji},
title = {Session Details: Doctoral Symposium 3: Poster Session},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3246420},
doi = {10.1145/3246420},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396509,
author = {Sang, Jitao},
title = {Collective Search and Recommendation in Social Media},
year = {2012},
isbn = {9781450310895},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2393347.2396509},
doi = {10.1145/2393347.2396509},
abstract = {This PhD thesis proposal is focused on proposing solutions to the problem of collective search and recommendation in social media. User and data are two fundamental elements under social media environment. To cope with the semantic gap between social media data and semantic meaning, and the complexity of user intent and requirements, we propose to conduct research on three stages: (1) multimedia content analysis; (2) user understanding and (3)collective search and recommendation. We address the large-scale, multi-modal and heterogeneous characteristics of social media analysis by developing methodology from factor analysis, generative topic model and collaborative filtering. Progresses and advances along the three research lines have been presented, with future directions and open discussions concluded in the end.},
booktitle = {Proceedings of the 20th ACM International Conference on Multimedia},
pages = {1421–1424},
numpages = {4},
keywords = {social media, collective search, collective recommendation},
location = {Nara, Japan},
series = {MM '12}
}

@inproceedings{10.1145/2393347.2396510,
author = {Lindner, Albrecht},

license_type: permissive

extension: bib