Adaptive Multimedia Retrieval: User, Context, and Feedback

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.