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|a 9783540321750
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|a 10.1007/11670834
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|a Adaptive Multimedia Retrieval: User, Context, and Feedback
|h [electronic resource] :
|b Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers /
|c edited by Marcin Detyniecki, Joemon M. Jose, Andreas Nürnberger, C. J. van Rijsbergen.
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|a 1st ed. 2006.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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|a XII, 284 p.
|b online resource.
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|a Information Systems and Applications, incl. Internet/Web, and HCI ;
|v 3877
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|a Invited Contributions -- Putting the User in the Loop: Visual Resource Discovery -- Using Relevance Feedback to Bridge the Semantic Gap -- Leveraging Context for Adaptive Multimedia Retrieval: A Matter of Control -- Ranking -- Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations -- Ranking Invariance Based on Similarity Measures in Document Retrieval -- Systems -- Developing AMIE: An Adaptive Multimedia Integrated Environment -- Exploring the Structure of Media Stream Interactions for Multimedia Browsing -- CARSA - An Architecture for the Development of Context Adaptive Retrieval Systems -- Integrating Media Management Towards Ambient Intelligence -- CANDELA - Storage, Analysis and Retrieval of Video Content in Distributed Systems -- Spatio-temporal Relations -- Interactive Retrieval of Video Sequences from Local Feature Dynamics -- Temporal Relation Analysis in Audiovisual Documents for Complementary Descriptive Information -- Using Feedback -- Using Segmented Objects in Ostensive Video Shot Retrieval -- Learning User Queries in Multimodal Dissimilarity Spaces -- Surface Features in Video Retrieval -- Toward Consistent Evaluation of Relevance Feedback Approaches in Multimedia Retrieval -- Using Context -- An Explorative Study of Interface Support for Image Searching -- Context-Based Image Similarity Queries -- Meta Data -- Information Retrieval of Sequential Data in Heterogeneous XML Databases -- A Visual Annotation Framework Using Common-Sensical and Linguistic Relationships for Semantic Media Retrieval -- Improving Access to Multimedia Using Multi-source Hierarchical Meta-data.
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|a This book is an extended collection of revised contributions that were initially submitted to the International Workshop on Adaptive Multimedia Retrieval (AMR 2005). This workshop was organized during July 28-29, 2005, at the U- versity of Glasgow, UK, as part of an information retrieval research festival and in co-location with the 19th International Joint Conference on Arti?cial Int- ligence (IJCAI 2005). AMR 2005 was the third and so far the biggest event of the series of workshops that started in 2003 with a workshop during the 26th German Conference on Arti?cial Intelligence (KI 2003) and continued in 2004 as part of the 16th European Conference on Arti?cial Intelligence (ECAI 2004). Theworkshopfocussedespeciallyonintelligentmethodstoanalyzeandstr- ture multimedia collections, with particular attention on methods that are able to support the user in the search process, e. g. , by providing additional user-and context-adapted information about the search results as well as the data coll- tion itself and especially by adapting the retrieval tool to the user's needs and interests. The invited contributions presented in the ?rst section of this book- "Putting the User in the Loop: Visual Resource Discovery" from Stefan Rug ¨ er, "Using Relevance Feedback to Bridge the Semantic Gap" from Ebroul Izquierdo and Divna Djordjevic, and "Leveraging Context for Adaptive Multimedia - trieval: A Matter of Control" from Gary Marchionini-illustrate these core t- ics: user,contextandfeedback. Theseaspectsarediscussedfromdi?erent points ofviewinthe18contributionsthatareclassi?edintosixmainchapters,following rather closely the workshop's sessions: ranking, systems, spatio-temporal re- tions, using feedback, using context and meta-data.
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|a Data structures (Computer science).
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|a Information theory.
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|a Information storage and retrieval systems.
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|a Multimedia systems.
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|a Application software.
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|a Computer vision.
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|a Artificial intelligence.
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|a Data Structures and Information Theory.
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|a Information Storage and Retrieval.
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|a Multimedia Information Systems.
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|a Computer and Information Systems Applications.
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|a Computer Vision.
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|a Artificial Intelligence.
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|a Detyniecki, Marcin.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Jose, Joemon M.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Nürnberger, Andreas.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a van Rijsbergen, C. J.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540820390
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|i Printed edition:
|z 9783540321743
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|a Information Systems and Applications, incl. Internet/Web, and HCI ;
|v 3877
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|u https://doi.uam.elogim.com/10.1007/11670834
|z Texto Completo
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|a ZDB-2-SCS
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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