A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems
Jefersson Alex dos Santos, Cristiano Dalmaschio Ferreira, Ricardo da Silva Torres · 2008
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.