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Multimedia Content Analysis Theory and Applications [Hardcover]

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  • Category: Books (Computers)
  • ISBN-10:  0387765670
  • ISBN-10:  0387765670
  • ISBN-13:  9780387765679
  • ISBN-13:  9780387765679
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  375
  • Pages:  375
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2008
  • Pub Date:  01-Feb-2008
  • SKU:  0387765670-11-SPRI
  • SKU:  0387765670-11-SPRI
  • Item ID: 100837979
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Jul 04 to Jul 06
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Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis. As research has progressed, it has become clear that this field has to appeal to other disciplines such as psycho-physics, media production, etc. This book consists of invited chapters that cover the entire range of the field. Some of the topics covered include low-level audio-visual analysis based retrieval and indexing techniques, the TRECVID effort, video browsing interfaces, content creation and content analysis, and multimedia analysis-based applications, among others. The chapters are written by leading researchers in the multimedia field.

Capturing the most significant milestones in the multimedia field, this book consists of invited chapters that cover the entire range of the field. It includes unique coverage of multimedia content analysis based products described by pioneers in the field.

Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis. As research has progressed, it has become clear that this field has to appeal to other disciplines such as psycho-physics, media production, etc. This book consists of invited chapters that cover the entire range of the field. Some of the topics covered include low-level audio-visual analysis based retrieval and indexing techniques, the TRECVID effort, video browsing interfaces, content creation and content analysis, and multimedia analysis-based applications, among others. The chapters are written by leading researchers in the multimedia field.

Context Extraction Through Audio Signal Analysis.- Extracting Semantics from Multimedia Content: Challenges and Solutions.- Broadcast Video Content Segmentation by Supervised Learning.- Audio Content Discovery: An Unsupervised Approach.- Capturing Text Semantics for Concept Detection in News Videolól
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