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

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{dosSantos:2008:SIBGRAPI,

• author = "Jefersson Alex {dos Santos} and Cristiano Dalmaschio Ferreira and Ricardo {da Silva Torres}",
• title = "A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems",
• booktitle = "XXI Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI '08",
• year = "2008",
• month = oct,
• pages = "155--162",
• keywords = "genetic algorithms, genetic programming, genetic programming approach, local aggregation pattern, local image features, query session, region-based image retrieval systems, relevance feedback, image retrieval, relevance feedback",
• DOI = "doi:10.1109/SIBGRAPI.2008.15",
• ISSN = "1530-1834",
• 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.",
• notes = "Also known as \cite{4654155}",

}

Genetic Programming entries for Jefersson Alex dos Santos Cristiano Dalmaschio Ferreira Ricardo da Silva Torres

Citations