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7 January 1999 Multimodal browsing of images in Web documents
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In this paper, we describe a system for performing browsing and retrieval on a collection of web images and associated text on an HTML page. Browsing is combined with retrieval to help a user locate interesting portions of the corpus, without the need to formulate a query well matched to the corpus. Multi-modal information, in the form of text surrounding an image and some simple image features, is used in this process. Using the system, a user progressively narrows a collection to a small number of elements of interest, similar to the Scatter/Gather system developed for text browsing. We have extended the Scatter/Gather method to use multi-modal features. With the use of multiple features, some collection elements may have unknown or undefined values for some features; we present a method for incorporating these elements into the result set. This method also provides a way to handle the case when a search is narrowed to a part of the space near a boundary between two clusters. A number of examples illustrating our system are provided.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francine R. Chen, Ullas Gargi, Les Niles, and Hinrich Schuetze "Multimodal browsing of images in Web documents", Proc. SPIE 3651, Document Recognition and Retrieval VI, (7 January 1999);


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