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A Novel Approach for Accessing Partially Indexed Image Corpora

  • Gérald Duffing
  • Malika SmaÏl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1929)

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.

Keywords

Image Retrieval Retrieval Process Relevant Image Virtual Image Cosine Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Gérald Duffing
    • 1
  • Malika SmaÏl
    • 1
  1. 1.Campus Sciences BP 239UMR 7503 LORIAFrance

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