Graph drawing by force-directed placement
Software—Practice & Experience
Cognitive walkthroughs: a method for theory-based evaluation of user interfaces
International Journal of Man-Machine Studies
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
An adaptive technique for content-based image retrieval
Multimedia Tools and Applications
Interactive access to large image collections using similarity-based visualization
Journal of Visual Languages and Computing
Design of Multimodal Dissimilarity Spaces for Retrieval of Video Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Crossing textual and visual content in different application scenarios
Multimedia Tools and Applications
Energy-based clustering of graphs with nonuniform degrees
GD'05 Proceedings of the 13th international conference on Graph Drawing
Joint semantics and feature based image retrieval using relevance feedback
IEEE Transactions on Multimedia
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Information seeking in a multimedia database very often implies a search process that is complex, dynamic and multi-faceted. Moreover the information need with respect to a topic is likely to evolve during the same search session, going from a simple lookup search to a thorough discovery of connected subtopics. We propose a system that aims at addressing these challenges. It couples serendipitous browsing and query-based search in a smooth manner. The proposed system offers two levels, one global and one local, of visualizing the context of the information seeking task and it also allows to view and search the data using either monomodal or cross-modal similarities. Furthermore, the system integrates a new relevance feedback model that takes into account the multimodal nature of the data in a flexible way and a combination of two parameters, the locality and forgetting factors, that allows the user to design adaptive metrics in the interactive search process. The paper also presents a preliminary user-centered evaluation of our system and concludes with an analysis of the evaluation results.