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Image retrieval and relevance feedback using peer indexing

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3 Author(s)

We present the idea of peer indexing - indexing an image by semantically correlated images - and its application in image retrieval. A learning strategy is suggested for automatic acquisition of peer indices from user feedback, and the similarity metric for the peer index is formulated. A cooperative framework is proposed under which the peer index is integrated with low-level features for image retrieval and relevance feedback. Encouraging results on both short-term and long-term retrieval performance of our approach are shown by experiments.

Published in:

Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on  (Volume:2 )

Date of Conference:

2002

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