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

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.

• Type: Conference
• Year: 2008
• Where: SIBGRAPI
• Authors: Jefersson Alex dos Santos, Cristiano D. Ferreira, Ricardo da Silva Torres
• Keywords: Computer Graphics, Content-based Image Retrieval, Relevance Feedback Method, Relevance Feedback Technique, SIBGRAPI 2008