Adaptive Multimedia Retrieval: User, Context, and Feedback

1. Front Matter

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2. Invited Contributions

   1. Putting the User in the Loop: Visual Resource Discovery

      • Stefan Rüger

      Pages 1-18

   2. Using Relevance Feedback to Bridge the Semantic Gap

      • Ebroul Izquierdo, Divna Djordjevic

      Pages 19-34

   3. Leveraging Context for Adaptive Multimedia Retrieval: A Matter of Control

      • Gary Marchionini

      Pages 35-43

3. Ranking

   1. Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations

      • Mohand Boughanem, Yannick Loiseau, Henri Prade

      Pages 44-54

   2. Ranking Invariance Based on Similarity Measures in Document Retrieval

      • Jean-Francois Omhover, Maria Rifqi, Marcin Detyniecki

      Pages 55-64

4. Systems

   1. Developing AMIE: An Adaptive Multimedia Integrated Environment

      • Osama El Demerdash, Sabine Bergler, Leila Kosseim, P. Karen Langshaw

      Pages 65-78

   2. Exploring the Structure of Media Stream Interactions for Multimedia Browsing

      • Saturnino Luz, Matt-Mouley Bouamrane

      Pages 79-90

   3. CARSA – An Architecture for the Development of Context Adaptive Retrieval Systems

      • Korinna Bade, Ernesto W. De Luca, Andreas Nürnberger, Sebastian Stober

      Pages 91-101

   4. Integrating Media Management Towards Ambient Intelligence

      • Willem Fontijn, Jan Nesvadba, Alexander Sinitsyn

      Pages 102-111

   5. CANDELA – Storage, Analysis and Retrieval of Video Content in Distributed Systems

      • E. Jaspers, R. Wijnhoven, R. Albers, J. Nesvadba, J. Lukkien, A. Sinitsyn et al.

      Pages 112-127

5. Spatio-temporal Relations

   1. Interactive Retrieval of Video Sequences from Local Feature Dynamics

      • Nicolas Moënne-Loccoz, Eric Bruno, Stéphane Marchand-Maillet

      Pages 128-140

   2. Temporal Relation Analysis in Audiovisual Documents for Complementary Descriptive Information

      • Zein Al Abidin Ibrahim, Isabelle Ferrane, Philippe Joly

      Pages 141-154

6. Using Feedback

   1. Using Segmented Objects in Ostensive Video Shot Retrieval

      • Sorin Sav, Hyowon Lee, Alan F. Smeaton, Noel E. O’Connor

      Pages 155-167

   2. Learning User Queries in Multimodal Dissimilarity Spaces

      • Eric Bruno, Nicolas Moenne-Loccoz, Stéphane Marchand-Maillet

      Pages 168-179

   3. Surface Features in Video Retrieval

      • Thijs Westerveld, Arjen P. de Vries, Georgina Ramírez

      Pages 180-190

   4. Toward Consistent Evaluation of Relevance Feedback Approaches in Multimedia Retrieval

      • Xiangyu Jin, James French, Jonathan Michel

      Pages 191-206

7. Using Context

   1. An Explorative Study of Interface Support for Image Searching

      • Jana Urban, Joemon M. Jose

      Pages 207-221

   2. Context-Based Image Similarity Queries

      • Ilaria Bartolini

      Pages 222-235

8. Meta Data

   1. Information Retrieval of Sequential Data in Heterogeneous XML Databases

      • Eugen Popovici, Pierre-François Marteau, Gildas Ménier

      Pages 236-250

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.

• Ambient Intelligence
• Extensible Markup Language (XML)
• Video Retrieval
• adaptive mulitmedia retrieval
• artificial intelligence
• database
• distributed systems
• intelligence
• learning
• mulitmedia information retrieval
• multimedia databases
• retrieval systems
• segmentation
• semantic classifcation
• spatio-temporal relations

• Laboratoire d’Informatique de Paris 6, France

  Marcin Detyniecki

• Department of Computer Science, University of Glasgow, Glasgow, UK

  Joemon M. Jose

• Fakultät für Informatik, Otto-von-Guericke Universität Madgeburg, Germany

  Andreas Nürnberger

• Department of Computing Science, University of Glasgow, Glasgow, UK

  C. J. Rijsbergen

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