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Adaptive Multimedia Retrieval. Context, Exploration, and Fusion [electronic resource] :8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers / edited by Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober.

by Detyniecki, Marcin [editor.]; Knees, Peter [editor.]; Nürnberger, Andreas [editor.]; Schedl, Markus [editor.]; Stober, Sebastian [editor.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 6817Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.Description: X, 221p. online resource.ISBN: 9783642271694.Subject(s): Computer science | Database management | Information storage and retrieval systems | Multimedia systems | Artificial intelligence | Computer vision | Computer Science | Information Systems Applications (incl. Internet) | Information Storage and Retrieval | Artificial Intelligence (incl. Robotics) | Image Processing and Computer Vision | Database Management | Multimedia Information SystemsDDC classification: 005.7 Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 8th International Conference on Adaptive Multimedia Retrieval, AMR 2010, held in Linz, Austria, in August 2010. The 14 revised full papers and the invited contribution presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Context-based personalization; media information fusion; video retrieval; audio and music retrieval; adaptive similarities; and finding and organizing.
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This book constitutes the refereed proceedings of the 8th International Conference on Adaptive Multimedia Retrieval, AMR 2010, held in Linz, Austria, in August 2010. The 14 revised full papers and the invited contribution presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Context-based personalization; media information fusion; video retrieval; audio and music retrieval; adaptive similarities; and finding and organizing.

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