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The rapid advancement of digital multimedia technologies has not only revolutionized the production and distribution of audiovisual content, but also created the need to efficiently analyze TV programs to enable applications for content managers and consumers. Leaving no stone unturned, TV Content Analysis: Techniques and Applications provides a de
The rapid advancement of digital multimedia technologies has not only revolutionized the production and distribution of audiovisual content, but also created the need to efficiently analyze TV programs to enable applications for content managers and consumers. Leaving no stone unturned, TV Content Analysis: Techniques and Applications provides a de
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Dr. Ioannis (Yiannis) Kompatsiaris is a senior researcher (Researcher B') with the Informatics and Telematics Institute in Greece. His research interests include semantic multimedia analysis, indexing and retrieval, Web 2.0 content analysis, knowledge structures, reasoning, and personalization for multimedia applications. He received his PhD in 3-D-model-based image sequence coding from the Aristotle University of Thessaloniki in 2001. He is the coauthor of 55 papers in refereed journals, 30 book chapters, 7 patents, and more than 170 papers in international conferences. He is also the coeditor of the book Semantic Multimedia and Ontologies: Theory and Applications, the guest editor of six special issues, and has served as a program committee member and regular reviewer for a number of international journals and conferences. Kompatsiaris has been the co-organizer of various conferences and workshops, such as the ACM International Conference on Image and Video Retrieval (CIVR), International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), and Summer School on Multimedia Semantics (SSMS). He is also the coordinator of the SocialSensor-Sensing User Generated Input for Improved Media Discovery and Experience, European Integrated Project. He has been appointed as chair of the Technical Committee 14 of the International Association for Pattern Recognition (IAPR-TC14, "Signal Analysis for Machine Intelligence"). Kompatsiaris is a senior member of the IEEE and a member of the ACM. Bernard Merialdo is a professor in the Multimedia Department of EURECOM, France, and head of the department. A former student of the Ecole Normale Supérieure, Paris, he received his PhD from Paris University and a "Habilitation à Diriger des Recherches" from Paris 7 University. For more than 10 years, he was a research staff, then project manager at the IBM France Scientific Center, working on probabilistic techniques for Large Vocabulary Speech Recognition. He later joined EURECOM to set up the Multimedia Department. His research interests include the analysis, processing, indexing, and filtering of multimedia information to solve user-related tasks. His research covers a whole range of problems, from content extraction based on recognition techniques, content understanding based on parsing, multimedia content description languages (MPEG7), similarity computation for applications such as information retrieval, and user personalization and user interaction for the construction of applications.Merialdo has participated in numerous conference program committees. He is part of the organizing committee for the CBMI workshop. He was editor for the IEEE Transactions on Multimediaand chairman of the ACM Multimedia conference in 2002. He often acts as an expert and reviewer for French and European research programs. Merialdo is a senior member of the IEEE and a member of the ACM. Shiguo Lian received his PhD from Nanjing University of Science and Technology, Nanjing, China. He was a research assistant in City University of Hong Kong in 2004. Since July 2005, he has been a research scientist with France Telecom R&D (Orange Labs), Beijing. He is the author or coauthor of more than 80 refereed international journal and conference papers covering topics such as secure multimedia communication, intelligent multimedia services, and ubiquitous communication. He has contributed 15 book chapters and held 16 filed patents. He has authored the book Multimedia Content Encryption: Techniques and Applications (CRC Press, Boca Raton, FL, 2008) and has edited seven books. He was nominated for the prize of "Innovation Prize in France Telecom" and "Top 100 Doctorate Dissertation in Jiangsu Province" in 2006. Lian is a member of the IEEE Communications and Information Security Technical Committee, the IEEE Multimedia Communications Technical Committee, the IEEE SMCS Technical Committee on Soft Computing, and the IEEE Technical Committee on Nonlinear Circuits and Systems. He is on the editorial board of several international journals. He is also the guest editor of more than 10 international journals/magazines. Lian is in the organization committee or the TPC member of refereed conferences, including IEEE International Conference on Multimedia and Expo (ICME), 2011/2012, IEEE International Workshop on Multimedia Signal Processing (MMSP), 2011, IEEE International Conference on Communication (ICC), 2008-2012, IEEE Global Communications Conference (GLOBECOM), 2008-2012, IEEE Consumer Communications and Networking Conference (CCNC), 2009, and IEEE International Conference on Computer Communications and Networks (ICCCN), 2009. He is also a reviewer for refereed international magazines and journals.
Inhaltsangabe
Content Extraction: Robust content-based video copy detection using local spatio-temporal features. Cross-Domain Learning for Semantic Concept Detection in TV Programs. TV Content Analysis and Annotation for Parental Control. Robust, hardware-oriented algorithms for overlaid graphics detection for TV applications. Commercials and Trademarks Recognition. Content Structuring: TV Program Structuring Techniques: A Review. About TV Stream Macro-segmentation: Approaches and Results. Large-Scale Analysis for Interactive Media. High-level TV talk show structuring centered on speakers' interventions. Content Recommendation: Recommender Systems for Interactive TV. Capturing Long-Term User Interests in Online Television News Programs. Personalized Content Access in Interactive TV Based Crossmedia Environments. Content Quality: Algorithmic Evaluation of Visual Appeal: The Effect of Content and Display Technologies on Perceptual Quality. Mobile TV Content Design Rules. Web and Social TV: Hierarchical Semantic Content Analysis and Its Applications in Multimedia Summarization and Browsing. Convergence of (Non-)Linear TV Content to the Web. Enhancing Social TV through Social Media Mining. Content Production: Tools for Content Management in TV Post-Production. Enriching Viewing Experience of TV Programs using Virtual Content Insertion. Interactive content converge across platforms, formats and devices.
Content Extraction: Robust content-based video copy detection using local spatio-temporal features. Cross-Domain Learning for Semantic Concept Detection in TV Programs. TV Content Analysis and Annotation for Parental Control. Robust, hardware-oriented algorithms for overlaid graphics detection for TV applications. Commercials and Trademarks Recognition. Content Structuring: TV Program Structuring Techniques: A Review. About TV Stream Macro-segmentation: Approaches and Results. Large-Scale Analysis for Interactive Media. High-level TV talk show structuring centered on speakers' interventions. Content Recommendation: Recommender Systems for Interactive TV. Capturing Long-Term User Interests in Online Television News Programs. Personalized Content Access in Interactive TV Based Crossmedia Environments. Content Quality: Algorithmic Evaluation of Visual Appeal: The Effect of Content and Display Technologies on Perceptual Quality. Mobile TV Content Design Rules. Web and Social TV: Hierarchical Semantic Content Analysis and Its Applications in Multimedia Summarization and Browsing. Convergence of (Non-)Linear TV Content to the Web. Enhancing Social TV through Social Media Mining. Content Production: Tools for Content Management in TV Post-Production. Enriching Viewing Experience of TV Programs using Virtual Content Insertion. Interactive content converge across platforms, formats and devices.
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