Abstract
This paper addresses the issue of efficient retrieval from image corpora in which only a little proportion is thematically indexed. We propose a hybrid approach integrating thematic querying/search with content-based retrieval. We show how a preliminary double clustering of image corpus exploited by an adapted 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. Some experimental results are provided and discussed to demonstrate the effectiveness of this work.
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Duffing, G., SmaÏl, M. (2000). A Novel Approach for Accessing Partially Indexed Image Corpora. In: Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2000. Lecture Notes in Computer Science, vol 1929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40053-2_22
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DOI: https://doi.org/10.1007/3-540-40053-2_22
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