Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/105882
Type: Artigo de evento
Title: A Genetic Programming Approach For Relevance Feedback In Region-based Image Retrieval Systems
Author: Dos Santos J.A.
Ferreira C.D.
Da Silva Torres R.
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. © 2008 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/SIBGRAPI.2008.15
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-56749169281&partnerID=40&md5=683eca20cd1d4745ba5d240229a74da6
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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