A collaborative, long-term learning appro ach to using relevance feedback in content-based image retrieval systems

Proceedings Elmar - International Symposium Electronics in Marine

Volumn , Issue , 2005, Pages 143-146

  Nedovic, Vladimir ^a   Marques, Oge ^a  

^a Florida Atlantic Univ   (United States)

Author keywords

Content Based Image Retrieval; Relevance Feedback; Semantic Gap

Indexed keywords

FEEDBACK; IMAGE RETRIEVAL; LEARNING ALGORITHMS; SEARCH ENGINES; SEMANTICS;

HUMAN-PERCEPTION SUBJECTIVITY; RELEVANCE FEEDBACK; SEMANTIC GAP; VISUAL FEATURES;

CONTENT BASED RETRIEVAL;

EID: 33745233505     PISSN: 13342630     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Y. Rui, T.S. Huang, M. Ortega, and S. Mehrotra, "Relevance Feedback: A Power Tool for Interactive Content-Based Image Retrieval", IEEE Transactions on Circuits and Video Technology, vol. 8, Sept. 1998.
2. X. S. Zhou and T. S. Huang, "Exploring the Nature and Variants of Relevance Feedback", IEEE Workshop on Content-based Access of Image and Video Libraries, Dec. 2001.
3. O. Marques and B. Furht, "MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback", Multimedia Tools and Applications, Kluwer, Vol. 17, No. 1, pp. 21-50, May 2002.