Advances in Semantic Media Adaptation and Personalization, Volume 2

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Marios C. Angelides, Phivos Mylonas, Manolis Wallace
CRC Press, Mar 17, 2009 - Computers - 456 pages
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The emergence of content- and context-aware search engines, which not only personalize searching and delivery but also the content, has caused the emergence of new infrastructures capable of end-to-end ubiquitous transmission of personalized multimedia content to any device on any network at any time. Personalizing and adapting content requires processing of content and recognizing patterns in users’ behaviour on the other. Personalizing and adapting the semantic content of multimedia enables applications to make just-in-time intelligent decisions regarding this content, which in turn makes interaction with the multimedia content an individual and individually rewarding experience. Highlighting the changing nature of the field, Advances in Semantic Media Adaptation and Personalization, Volume Two discusses the state of the art, recent advances, and future outlooks for semantic media adaptation and personalization.

Topics include:

  • Collaborative Content Modeling
  • Automatic Content Feature Extraction to Content Models
  • Semantic Languages for Content Description
  • Video Content Adaptation
  • Adaptive Video Content Retrieval
  • Content Similarity Detection
  • Personalized Content Podcasting
  • Adaptive Web Interaction

As content and service providers recognize the value of new services and new markets, they will invest in technologies that adapt and personalize content. Industry, in response, has released new standards such as MPEG-7, MPEG21, and VC-1 that enable propagation of semantic media, adaptation, and personalization. Consequently, a broad range of applications are emerging across many industry sectors, such as music, film, games, television, and sports. Bringing together insight from researchers and practitioners, this book provides a sampling of the latest thinking in the field.

 

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Contents

Challenges of Collaborative Content Modeling
1
Chapter 2 Research Directions toward UserCentric Multimedia
21
Chapter 3 UserCentered Adaptation of User Interfaces for Heterogeneous Environments
43
Chapter 4 Video Adaptation Based on Content Characteristics and Hardware Capabilities
67
A Survey of the State of the Art and Possible Extensions
95
Chapter 6 Toward an Adaptive Video Retrieval System
113
Chapter 7 On Using Information Retrieval Techniques for Semantic Media Adaptation
137
Chapter 8 Interactive Video Browsing of H264 Content Based on JustinTime Analysis
159
Chapter 12 Toward and Adaptive and Personalized Web Interaction Using Human Factors
247
Chapter 13 ImageBased Synthesis for Human Facial Expressions
283
Chapter 14 Image Retrieval Using Particle Swarm Optimization
297
Chapter 15 Image Description Using ScaleSpace Edge Pixel Directions Histogram
321
Chapter 16 Semantic Language for Description and Detection of Visual Events
341
Chapter 17 MPEG7Based Semantic Indexing of Film Heritage Audiovisual Content
365
Chapter 18 Automatic Feature Extraction to an MPEG7 Content Model
399
Index
425

Chapter 9 Personalized Faceted Navigation in Semantically Enriched Information Spaces
181
Chapter 10 Personalized Audiovisual ContentBased Podcasting
203
Chapter 11 Use of Similarity Detection Techniques for Adaptive News Content Delivery and User Profiling
225
Back cover
437
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