Relevance Feedback Reinforced with Semantics Accumulation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3115, Issue , 2004, Pages 448-454

  Oh, Sangwook ^a   Chung, Min Gyo ^b   Sull, Sanghoon ^a  

^a Korea University   (South Korea)

^b Seoul Women University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RETRIEVAL; SEMANTICS;

FEED BACK INFORMATION; LOW-LEVEL FEATURES; RELEVANCE FEEDBACK; RETRIEVAL EFFECTIVENESS; SEARCH SESSIONS;

FEEDBACK;

EID: 35048829944     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27814-6_53     Document Type: Article

References (5)

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2. I. J. Cox, M. L. Miller, T. P. Minka, T. V. Papathomas, and P. N. Yianilos, "The Bayesian image retrieval system, PicHunter:theory, implementation, and psychophysical experiments," in IEEE Transaction on Image Processing, Vol. 9, pp. 20-37, Jan 2000.
3. H. Muller, W. Muller, S. Marchand-Maillet, and T. Pun, "Strategies for positive and negative relevance feedback in image retrieval," in Proc. of IEEE Conference on Pattern Recognition, Vol. 1, pp. 1043-1046, Sep 2000.
4. Jing Huang, S. Ravi Kumar, Mandar Mitra, Wei-Jing Zhu and Ramin Zabih. "Image Indexing Using Color Correlograms," in IEEE Conference on Computer Vision and Pattern Recognition, pp. 762-768, June 1997.
5. Seong-O Shim and Tae-Sun Choi, "Edge color histogram for image retrieval", 2002 Int'l conf. on Image processing, pp. 957-960, vol. 3, Jun.2002.