Abstract
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.
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Ah-Pine, J., Renders, JM., Viaud, ML. (2011). A Continuum between Browsing and Query-Based Search for User-Centered Multimedia Information Access. In: Detyniecki, M., García-Serrano, A., Nürnberger, A. (eds) Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User. AMR 2009. Lecture Notes in Computer Science, vol 6535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18449-9_10
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DOI: https://doi.org/10.1007/978-3-642-18449-9_10
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