Abstract
This paper addresses the issue of efficient retrieval from image corpora in which only a little proportion is textually indexed. We propose a hybrid approach integrating textual search with content-based retrieval. We show how a preliminary double clustering of image corpus exploited by an adequate retrieval process constitutes an answer to the pursued objective. The retrieval process takes advantage of user-system interaction via relevance feedback mechanism whose results are integrated in a virtual image. Experimental results on the PICAP prototype are reported ed and discussed to demonstrate the effectiveness of this work.
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Duffing, G., Smaïl, M. (2002). Organising and Searching Partially Indexed Image Databases. In: Crestani, F., Girolami, M., van Rijsbergen, C.J. (eds) Advances in Information Retrieval. ECIR 2002. Lecture Notes in Computer Science, vol 2291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45886-7_2
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DOI: https://doi.org/10.1007/3-540-45886-7_2
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