Advances in Semantic Media Adaptation and Personalization, Volume 2
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.

1104780575
Advances in Semantic Media Adaptation and Personalization, Volume 2
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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Advances in Semantic Media Adaptation and Personalization, Volume 2

Advances in Semantic Media Adaptation and Personalization, Volume 2

Advances in Semantic Media Adaptation and Personalization, Volume 2

Advances in Semantic Media Adaptation and Personalization, Volume 2

Hardcover(2nd ed.)

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Overview

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.


Product Details

ISBN-13: 9781420076646
Publisher: Taylor & Francis
Publication date: 03/17/2009
Edition description: 2nd ed.
Pages: 456
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Marios C. Angelides, Phivos Mylonas, Manolis Wallace

Table of Contents

Multimedia Metadata 2.0: Challenges of Collaborative Content Modelling. Research Directions toward User-centric Multimedia. User-Centred Adaptation of User Interfaces for Heterogeneous Environments. Video Adaptation Based on Content Characteristics and Hardware Capabilities. Towards Next Generation In-flight Entertainment Systems: A Survey of the State of the Art and Possible Extensions. Towards an Adaptive Video Retrieval System. On Using Information Retrieval Techniques for Semantic Media Adaptation. Interactive Video Browsing of H.264 Content based on Just-in-Time Analysis. Personalized Faceted Navigation in Semantically Enriched Information Spaces. Personalized Audiovisual Content-based Podcasting. Use of similarity detection techniques for adaptive news content delivery and user profiling. Towards an Adaptive and Personalized Web Interaction using Human Factors. Image Based Synthesis for Human facial Expression. Image Retrieval Using Particle Swarm Optimization. Image Description using Scale-Space Edge Pixel Directions Histogram. A Semantic Language for Description and Detection of Visual Events. MPEG-7 based semantic indexing of Film Heritage audio-visual content. Automatic Feature Extration to an MPEG-7 content model.

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