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Minimizing user interaction by automatic and semi-automatic relevance feedback for image retrieval | IEEE Conference Publication | IEEE Xplore

Minimizing user interaction by automatic and semi-automatic relevance feedback for image retrieval


Abstract:

This paper describes the unsupervised-interactive learning method, using the self-organizing tree map (SOTM) architecture, for the automation of relevance feedback (RF) i...Show More

Abstract:

This paper describes the unsupervised-interactive learning method, using the self-organizing tree map (SOTM) architecture, for the automation of relevance feedback (RF) in content-based image retrieval. The SOTM is shown to exhibit good behavior in relevance classification; providing a possible solution to minimizing user interactions in both fully automatic and semiautomatic domains, while achieving high retrieval accuracy in the context of adaptive retrieval. Computer simulation shows this system is very effective when applied to compressed domain retrieval systems for texture retrieval and the JPEG photograph database applications.
Date of Conference: 22-25 September 2002
Date Added to IEEE Xplore: 10 December 2002
Print ISBN:0-7803-7622-6
Print ISSN: 1522-4880
Conference Location: Rochester, NY, USA

References

References is not available for this document.