TV Content Analysis
Techniques and Applications
1st Edition
Published on 19. March 2012
674 pages
978-1-4665-5912-7 (ISBN)
Description
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
More details
Series
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Students, researchers, academics, law enforcement, and IT practitioners who are interested or involved in the study, research, use, design, and development of techniques related to TV program analysis.
Product notice
Reflowable
Illustrations
35 s/w Tabellen, 189 s/w Abbildungen
189 b/w images, 35 tables and Approx. 81
File size
15,30 MB
ISBN-13
978-1-4665-5912-7 (9781466559127)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Yiannis Kompatsiaris | Bernard Merialdo | Shiguo Lian
TV Content Analysis
Techniques and Applications
Book
03/2012
1st Edition
Taylor & Francis
€189.20
Shipment within 15-20 days
Persons
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 Superieure, Paris, he received his PhD from Paris University and a "Habilitationiriger 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, worki
Bernard Merialdo is a professor in the Multimedia Department of EURECOM, France, and head of the department. A former student of the Ecole Normale Superieure, Paris, he received his PhD from Paris University and a "Habilitationiriger 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, worki
Content
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.
