%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2008/08.07.16.02
%2 sid.inpe.br/sibgrapi@80/2008/08.07.16.02.32
%@doi 10.1109/SIBGRAPI.2008.15
%T A genetic programming approach for relevance feedback in region-based image retrieval systems
%D 2008
%A Santos, Jefersson Alex dos,
%A Ferreira, Cristiano Dalmaschi,
%A Torres, Ricardo da Silva,
%@affiliation University of Campinas
%@affiliation University of Campinas
%@affiliation University of Campinas
%E Jung, Cláudio Rosito,
%E Walter, Marcelo,
%B Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
%C Campo Grande, MS, Brazil
%8 12-15 Oct. 2008
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K genetic programing, image retrieval, relevance feedback.
%X 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.
%@language en
%3 santos-GPImageRetrieval.pdf