Adaptive Multimedia Retrieval: User, Context, and Feedback: Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers

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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.

Author(s): Stefan Rüger (auth.), Marcin Detyniecki, Joemon M. Jose, Andreas Nürnberger, C. J. van Rijsbergen (eds.)
Series: Lecture Notes in Computer Science 3877 : Information Systems and Applications, incl. Internet/Web, and HCI
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006

Language: English
Pages: 284
Tags: Information Storage and Retrieval; Multimedia Information Systems; Information Systems Applications (incl.Internet); Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics)

Front Matter....Pages -
Putting the User in the Loop: Visual Resource Discovery....Pages 1-18
Using Relevance Feedback to Bridge the Semantic Gap....Pages 19-34
Leveraging Context for Adaptive Multimedia Retrieval: A Matter of Control....Pages 35-43
Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations....Pages 44-54
Ranking Invariance Based on Similarity Measures in Document Retrieval....Pages 55-64
Developing AMIE: An Adaptive Multimedia Integrated Environment....Pages 65-78
Exploring the Structure of Media Stream Interactions for Multimedia Browsing....Pages 79-90
CARSA – An Architecture for the Development of Context Adaptive Retrieval Systems....Pages 91-101
Integrating Media Management Towards Ambient Intelligence....Pages 102-111
CANDELA – Storage, Analysis and Retrieval of Video Content in Distributed Systems....Pages 112-127
Interactive Retrieval of Video Sequences from Local Feature Dynamics....Pages 128-140
Temporal Relation Analysis in Audiovisual Documents for Complementary Descriptive Information....Pages 141-154
Using Segmented Objects in Ostensive Video Shot Retrieval....Pages 155-167
Learning User Queries in Multimodal Dissimilarity Spaces....Pages 168-179
Surface Features in Video Retrieval....Pages 180-190
Toward Consistent Evaluation of Relevance Feedback Approaches in Multimedia Retrieval....Pages 191-206
An Explorative Study of Interface Support for Image Searching....Pages 207-221
Context-Based Image Similarity Queries....Pages 222-235
Information Retrieval of Sequential Data in Heterogeneous XML Databases....Pages 236-250
A Visual Annotation Framework Using Common-Sensical and Linguistic Relationships for Semantic Media Retrieval....Pages 251-265
Improving Access to Multimedia Using Multi-source Hierarchical Meta-data....Pages 266-278
Back Matter....Pages -