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

Authors:
Jefersson Alex dos Santos;Cristiano Dalmaschio Ferreira;Ricardo da Silva Torres
Affiliations:
-;-;-
Venue:
SIBGRAPI '08 Proceedings of the 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing
Year:
2008

Citing 0
Cited 3

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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 feedback technique.