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Advances in Semantic Media Adaptation and Personalization, Volume 2 (Hardcover, 2nd edition)
Loot Price: R4,043
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Advances in Semantic Media Adaptation and Personalization, Volume 2 (Hardcover, 2nd edition)
Expected to ship within 12 - 17 working days
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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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