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A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems

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3 Author(s)
Santos, J. ; Inst. of Comput., Univ. of Campinas, Campinas ; Ferreira, C.D. ; Torres, R.

This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user preferences and combine the region similarity values in a query session. Experiments demonstrate that the proposed method yields more effective results than the local aggregation pattern (LAP)-based relevance feedback technique.

Published in:

Computer Graphics and Image Processing, 2008. SIBGRAPI '08. XXI Brazilian Symposium on

Date of Conference:

12-15 Oct. 2008