Multimedia Data Mining and Analytics (eBook)

Aaron K. Baughman is a member of the Special Events Group at IBM (USA) for World Wide Sports. Previously, he was Technical Lead on a DeepQA Embed Research project that included an instance of the Jeopardy! Challenge.Jiang (John) Gao is a Principal Scientist in the Advanced Development and Technology Group at Nokia USA, working on multimedia and mobile applications, data mining and computer vision.Jia-Yu Pan is a software engineer at Google (USA), working on data mining and anomaly detection in big data.Valery A. Petrushin is a Principal Scientist in the Research and Development Group at Opera Solutions (USA). His previous publications include the successful Springer title Multimedia Data Mining and Knowledge Discovery.

Part I: IntroductionDisruptive Innovation: Large Scale Multimedia Data MiningAaron K. Baughman, Jia-Yu Pan, Jiang Gao, and Valery A. PetrushinPart II: Mobile and Social Multimedia Data ExplorationSentiment Analysis Using Social MultimediaJianbo Yuan, Quanzeng You, and Jiebo LuoTwitter as a Personalizable Information ServiceMario Cataldi, Luigi Di Caro, and Claudio SchifanellaMining Popular Routes from Social MediaLing-Yin Wei, Yu Zheng, and Wen-Chih PengSocial Interactions over Location-Aware Multimedia SystemsYi Yu, Roger Zimmermann, and Suhua TangIn-house Multimedia Data MiningChristel Amato, Marc Yvon, and Wilfredo FerréContent-based Privacy for Consumer-Produced MultimediaGerald Friedland, Adam Janin, Howard Lei, Jaeyoung Choi, and Robin SommerPart III: Biometric Multimedia Data ProcessingLarge-scale Biometric Multimedia ProcessingStefan van der Stockt, Aaron Baughman, and Michael PerlitzDetection of Demographics and Identity in Spontaneous Speech and WritingAaron Lawson, Luciana Ferrer, Wen Wang, and John MurrayPart IV: Multimedia Data Modeling, Search and EvaluationEvaluating Web Image Context ExtractionSadet Alcic and Stefan ConradContent Based Image Search for Clothing Recommendations in E-CommerceHaoran Wang, Zhengzhong Zhou, Changcheng Xiao, and Liqing ZhangVideo Retrieval based on Uncertain Concept Detection using Dempster-Shafer TheoryKimiaki Shirahama, Kenji Kumabuchi, Marcin Grzegorzek, and Kuniaki UeharaMultimodal Fusion: Combining Visual and Textual Cues for Concept Detection in VideoDamianos Galanopoulos, Milan Dojchinovski, Krishna Chandramouli, Tomáš Kliegr, and Vasileios MezarisMining Videos for Features that Drive AttentionFarhan Baluch and Laurent IttiExposing Image Tampering with the Same Quantization MatrixQingzhong Liu, Andrew H. Sung, Zhongxue Chen, and Lei ChenPart V: Algorithms for Multimedia Data Presentation, Processing and VisualizationFast Binary Embedding for High-Dimensional DataFelix X. Yu, Yunchao Gong, and Sanjiv KumarFast Approximate K-Means via Cluster ClosuresJingdong Wang, Jing Wang, Qifa Ke, Gang Zeng, and Shipeng LiFast Neighborhood Graph Search using Cartesian ConcatenationJingdong Wang, Jing Wang, Gang Zeng, Rui Gan, Shipeng Li, and Baining GuoListen to the Sound of DataMark Last and Anna Usyskin (Gorelik)