DocumentCode
3140048
Title
A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems
Author
Santos, Jose ; Ferreira, Cristiano Dalmaschio ; Torres, Ricardo
Author_Institution
Inst. of Comput., Univ. of Campinas, Campinas
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
155
Lastpage
162
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.
Keywords
genetic algorithms; image retrieval; relevance feedback; genetic programming approach; local aggregation pattern; local image features; query session; region-based image retrieval systems; relevance feedback; Content based retrieval; Feature extraction; Feedback; Genetic programming; Humans; Image retrieval; Radio frequency; Shape; Support vector machines; Visual perception; genetic programming; image retrieval; local image features; relevance feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics and Image Processing, 2008. SIBGRAPI '08. XXI Brazilian Symposium on
Conference_Location
Campo Grande
ISSN
1530-1834
Print_ISBN
978-0-7695-3358-2
Type
conf
DOI
10.1109/SIBGRAPI.2008.15
Filename
4654155
Link To Document