- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full 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 detailed exploration of TV program analysis techniques.
Leading researchers and academics from around the world supply scientifically sound treatment of recent developments across the related subject areas—including systems, architectures, algorithms, applications, research results, emerging approaches, and open issues. The book is organized into six parts:
Content Extraction - deals with automatic analysis and annotation of TV content, addressing generic semantics and concepts as well as TV content
Content Structuring - examines techniques for identifying interesting parts of TV programs and supplying direct access to it
Content Recommendation - explores the problem of providing users with the most relevant content, addressing the problem of an ever-increasing amount of available content
Content Quality - considers visual perception and quality approaches in the multi-display TV context and the specific mobile TV scenario
Web and Social TV - presents studies on Web and TV convergence and on how user-generated content in Web 2.0 applications can be used to enhance services
Content Production - covers postproduction, visual effects, and presentation standards
Most parts start with a chapter that provides an overview of that area, followed by state-of-the-art approaches focusing on specific issues covered in that section. Reporting on recent advances in the field, the book provides you with the global view and up-to-date understanding of emerging trends needed to participate in the development of the digital TV domain.
Contents
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.
