A Genetic Programming Approach for relevance Feedback in Region-based Image Retrieval Systems
J. A. Santos, C. D. Ferreira, and R. da S. Torres. A
Genetic Programming Approach for Relevance Feedback in Region-based
Image Retrieval Systems. In: SIBGRAPI 2008, 2008, Campo
Grande, MS. XXI
Brazilian Symposium on Computer Graphics and Image Processing,
2008.
Abstract
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 feedbacktechnique.
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