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[null,null,"Titolo",null,"Adaptive Multimedia Retrieval: Identifying, Summarizing, and Recommending Image and Music : 6th International Workshop, AMR 2008, Berlin, Germany, June 26-27, 2008. Revised Selected Papers / / edited by Marcin Detyniecki, Ulrich Leiner, Andreas Nürnberger"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010"]
[null,null,"ISBN",null,"1-280-38814-5"]
[{"$nulls":4},"9786613566065"]
[{"$nulls":4},"3-642-14758-5"]
[null,null,"Edizione",null,"[1st ed. 2010.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 185 p. 65 illus.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 5811"]
[null,null,"Disciplina",null,"006"]
[null,null,"Soggetti",null,"Application software"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Invited Contribution -- The Future of Audio Reproduction -- User-Adaptive Web Retrieval -- Using Thematic Ontologies for User- and Group-Based Adaptive Personalization in Web Searching -- A Poset Based Approach for Condition Weighting -- User-Adaptive Music Retrieval -- Adaptive User Modeling for Content-Based Music Retrieval -- Towards User-Adaptive Structuring and Organization of Music Collections -- Music Tracking and Thumbnailing -- An Approach to Automatically Tracking Music Preference on Mobile Players -- Music Thumbnailing Incorporating Harmony- and Rhythm Structure -- Symbolic Music Retrieval -- Automatic Reduction of MIDI Files Preserving Relevant Musical Content -- Automatic Synchronization between Audio and Partial Music Score Representation -- Tagging and Structuring Image Collections -- Automatic Image Tagging Using Community-Driven Online Image Databases -- Geo-temporal Structuring of a Personal Image Database with Two-Level Variational-Bayes Mixture Estimation -- Unsupervised Clustering in Personal Photo Collections -- Systems for Still and Motion Images -- Towards a Fully MPEG-21 Compliant Adaptation Engine: Complementary Description Tools and Architectural Models -- Mobile Museum Guide Based on Fast SIFT Recognition."]
[null,null,null,"Sommario/riassunto","This bookis aselectionoftherevisedcontributionsthatwereinitially submitted to the International Workshop on Adaptive Multimedia Retrieval (AMR 2008). TheworkshopwasorganizedattheFraunhoferInstitute forTelecommunications HHI, Berlin, Germany, during June 26-27, 2008. The goalof the AMR workshopsis to intensify the exchangeof ideasbetween di'erentresearchcommunities,toprovideanoverviewofcurrentactivitiesinthis areaandtopointoutconnectionsbetweenthediverseresearchescommunities,in particular the ones focussing on multimedia retrieval and arti'cial intelligence. In this spirit, the ?rst three events were collocated with Arti'cial Intelligence conferences: in 2003 as a workshop of the 26th German Conference on Arti'cial Intelligence (KI 2003); in 2004 as part of the 16th European Conference on Arti'cial Intelligence (ECAI 2004) and in 2005 as part of the 19th International Joint Conference on Arti'cial Intelligence (IJCAI 05). Because of its success, in 2006 the University of Geneva, Switzerland organized the workshop for the ?rst time as a standalone event. The motivation of the participants led us to continue this path, and thus AMR 2007 and AMR 2008 were again organizedas independent events at the Laboratoired'Informatique de ParisVI in France and at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI) in Berlin, respectively. The workshop in 2008 revealed four main subtopics: summarization, ident- cation and recommendation. These challenges addressed image, Web and music data,thelatterbeingastrongandnewpushintheAMRseries.Therefore,inthis edition, adaptive retrieval--the core subject--was tackled from quite di'erent and innovative perspectives."]