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An interactive evolutionary approach for content based image retrieval | IEEE Conference Publication | IEEE Xplore

An interactive evolutionary approach for content based image retrieval


Abstract:

Content based image retrieval (CBIR) systems aim to provide a means to find pictures in large repositories without using any other information except its contents usually...Show More

Abstract:

Content based image retrieval (CBIR) systems aim to provide a means to find pictures in large repositories without using any other information except its contents usually as low-level descriptors. Since these descriptors do not exactly match the high level semantics of the image, assessing perceptual similarity between two pictures using only their feature vectors is not a trivial task. In fact, the ability of a system to induce high level semantic concepts from the feature vector of an image is one of the aspects which most influences its performance. This paper describes a CBIR algorithm which combines relevance feedback, evolutionary computation concepts and ad-hoc strategies in an attempt to fill the existing gap between the high level semantic content of the images and the information provided by the low level descriptors.
Date of Conference: 11-14 October 2009
Date Added to IEEE Xplore: 04 December 2009
ISBN Information:
Print ISSN: 1062-922X
Conference Location: San Antonio, TX, USA

References

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