This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.
Part I: Introduction Disruptive Innovation: Large Scale Multimedia Data Mining Aaron K. Baughman, Jia-Yu Pan, Jiang Gao, and Valery A. Petrushin Part II: Mobile and Social Multimedia Data Exploration Sentiment Analysis Using Social Multimedia Jianbo Yuan, Quanzeng You, and Jiebo Luo Twitter as a Personalizable Information Service Mario Cataldi, Luigi Di Caro, and Claudio Schifanella Mining Popular Routes from Social Media Ling-Yin Wei, Yu Zheng, and Wen-Chih Peng Social Interactions over Location-Aware Multimedia Systems Yi Yu, Roger Zimmermann, and Suhua Tang In-house Multimedia Data Mining Christel Amato, Marc Yvon, and Wilfredo Ferre Content-based Privacy for Consumer-Produced Multimedia Gerald Friedland, Adam Janin, Howard Lei, Jaeyoung Choi, and Robin Sommer Part III: Biometric Multimedia Data Processing Large-scale Biometric Multimedia Processing Stefan van der Stockt, Aaron Baughman, and Michael Perlitz Detection of Demographics and Identity in Spontaneous Speech and Writing Aaron Lawson, Luciana Ferrer, Wen Wang, and John Murray Part IV: Multimedia Data Modeling, Search and Evaluation Evaluating Web Image Context Extraction Sadet Alcic and Stefan Conrad Content Based Image Search for Clothing Recommendations in E-Commerce Haoran Wang, Zhengzhong Zhou, Changcheng Xiao, and Liqing Zhang Video Retrieval based on Uncertain Concept Detection using Dempster-Shafer Theory Kimiaki Shirahama, Kenji Kumabuchi, Marcin Grzegorzek, and Kuniaki Uehara Multimodal Fusion: Combining Visual and Textual Cues for Concept Detection in Video Damianos Galanopoulos, Milan Dojchinovski, Krishna Chandramouli, Tomas Kliegr, and Vasileios Mezaris Mining Videos for Features that Drive Attention Farhan Baluch and Laurent Itti Exposing Image Tampering with the Same Quantization Matrix Qingzhong Liu, Andrew H. Sung, Zhongxue Chen, and Lei Chen Part V: Algorithms for Multimedia Data Presentation, Processing and Visualization Fast Binary Embedding for High-Dimensional Data Felix X. Yu, Yunchao Gong, and Sanjiv Kumar Fast Approximate K-Means via Cluster Closures Jingdong Wang, Jing Wang, Qifa Ke, Gang Zeng, and Shipeng Li Fast Neighborhood Graph Search using Cartesian Concatenation Jingdong Wang, Jing Wang, Gang Zeng, Rui Gan, Shipeng Li, and Baining Guo Listen to the Sound of Data Mark Last and Anna Usyskin (Gorelik)
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