By Marios C. Angelides, Phivos Mylonas, Manolis Wallace
The emergence of content material- and context-aware se's, which not just customize looking out and supply but additionally the content material, has triggered the emergence of recent infrastructures able to end-to-end ubiquitous transmission of custom-made multimedia content material to any machine on any community at any time. Personalizing and adapting content material calls for processing of content material and spotting styles in clients’ behaviour at the different. Personalizing and adapting the semantic content material of multimedia allows purposes to make just-in-time clever judgements concerning this content material, which in flip makes interplay with the multimedia content material anyone and separately profitable event. Highlighting the altering nature of the sphere, Advances in Semantic Media version and Personalization, quantity discusses the state-of-the-art, contemporary advances, and destiny outlooks for semantic media model and personalization. issues contain: Collaborative content material Modeling computerized content material function Extraction to content material types Semantic Languages for content material Description Video content material variation Adaptive Video content material Retrieval content material Similarity Detection customized content material Podcasting Adaptive internet interplay As content material and repair companies realize the price of recent providers and new markets, they're going to put money into applied sciences that adapt and customize content material. undefined, in reaction, has published new criteria resembling MPEG-7, MPEG21, and VC-1 that let propagation of semantic media, version, and personalization. as a result, a huge variety of purposes are rising throughout many sectors, reminiscent of song, movie, video games, tv, and activities. Bringing jointly perception from researchers and practitioners, this e-book presents a sampling of the most recent considering within the box.
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Extra resources for Advances in Semantic Media Adaptation and Personalization, Volume 2
Personalization a llows u sers to i nteract w ith a s ystem in a way that is adapted to their needs, knowledge, interests, or other characteristics. Jameson (2003) deﬁnes systems automatically performing adaptation to t he individual user in a nontrivial way as user-adaptive systems. 1 Adaptation Targets The major aims of personalized adaptive systems are improvements in eﬀectiveness and eﬃciency of user interaction together with higher user satisfaction. An adaptive system provides a set of features that can be adapted.
The SemanticBase DS, an abstract tool, is the basis for the tools that de scribe s emantic en tities, a nd t he sp ecialized s emantic en tity description tools extend the SemanticBase DS to describe speciﬁc t ypes o f s emantic en tities, suc h a s o bjects, a gent o bjects, e vents, c oncepts, s tates, p laces, a nd t imes. The S emanticBase DS c an a lso c ontain S emanticRelation C Ss, w hich de scribe semantic relations among entities, such as the relationship between events and/or objects in a n arrative or the relationship of a n object to t he multimedia content that depicts that object.
J. 2008. Topic taxonomy adaptation for gr oup pr oﬁling. ACM Transactions on Kno wledge Disco very fr om D ata 1(4): 1–28. , and Aguirr e, S. A. 2006. A Web collaboration architecture. In Proceedings of the International Conference on Collaborative Computing: Networking, A pplications and Worksharing (Collabor ateCom 2006) , A tlanta, GA, November 17–20. -P. 2002. Content-based indexing and r etrieval using MPEG-7 and X-Q uery in video data management systems. World Wide Web 5(3): 207–227. Voss, J.
Advances in Semantic Media Adaptation and Personalization, Volume 2 by Marios C. Angelides, Phivos Mylonas, Manolis Wallace