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 latest infrastructures able to end-to-end ubiquitous transmission of custom-made multimedia content material to any gadget 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 permits purposes to make just-in-time clever judgements concerning this content material, which in flip makes interplay with the multimedia content material somebody and separately lucrative adventure. Highlighting the altering nature of the sphere, Advances in Semantic Media version and Personalization, quantity discusses the state-of-the-art, fresh advances, and destiny outlooks for semantic media model and personalization. themes contain: Collaborative content material Modeling computerized content material characteristic Extraction to content material versions Semantic Languages for content material Description Video content material variation Adaptive Video content material Retrieval content material Similarity Detection custom-made content material Podcasting Adaptive net interplay As content material and repair companies realize the worth of latest prone and new markets, they'll put money into applied sciences that adapt and customize content material. undefined, in reaction, has published new criteria comparable to MPEG-7, MPEG21, and VC-1 that allow propagation of semantic media, model, and personalization. for this reason, a huge diversity of functions are rising throughout many sectors, reminiscent of tune, movie, video games, tv, and activities. Bringing jointly perception from researchers and practitioners, this ebook offers a sampling of the newest pondering within the box.
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Additional resources for Advances in Semantic Media Adaptation and Personalization, Volume 2
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. 2007.
Bu t i t c omes i n d iverse sp ecializations w ith d iﬀerent re quirements a nd potentials for optimization, and it involves diﬀerent subactivities. It can be seen in many cases as a person’s main activity (although the person might in fact be quite passive due to t he currently dominant noninteractive t ypes of media), but multimedia consumption as a side occupation must also be taken into account. Having, for e xample, music or t he te levision r unning w hile doing something e lse i s very common, and in such cases, the main occupation has a great inﬂuence on the way the media consumption can be optimized: we m ay want the lights dimmed if we are watching a movie, but if we are cooking while watching a movie, we would not want dim lights because we would risk chopping oﬀ a ﬁ nger instead of a piece of potato.
3 Personalization and Context Management As a major aspect of user-centric multimedia systems, users should be able to communicate with the system using a natural, personalized interface to issue commands and express preferences. 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.