Scenario optimization for interactive category search

MIR 2005 - Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, Co-located with ACM Multimedia 2005

Volumn , Issue , 2005, Pages 159-165

  Nguyen, Giang P ^a   Worring, Marcel ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTENT BASED RETRIEVAL; COPYRIGHTS; DEGREES OF FREEDOM (MECHANICS); INFORMATION SYSTEMS; LEARNING SYSTEMS; VISUALIZATION;

ADVANCED VISUALIZATIONS; EVALUATION CRITERIA; INFORMATION VISUALIZATION; INTEGRATED SYSTEMS; INTERACTIVE CONTENTS; MULTIMEDIA INFORMATION; SCENARIO OPTIMIZATIONS; SIMILARITY-BASED VISUALIZATIONS;

SEARCH ENGINES;

EID: 84857524932     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1101826.1101853     Document Type: Conference Paper

References (14)

1. C. Chang and C. Lin. Libsvm: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/ cjlin/libsvm.
2. Y. Chen, X.S.Zhou, and T. Huang. One-class svm for learning in image retrieval. ICIP, 1:34-37, 2001.
3. P. Gosselin and M. Cord. Retin al: an active learning strategy for image category retrieval. ICIP, 2004.
4. G. Guo, A. Jain, W. Ma, and H. Zhang. Learning similarity measure for natural image retrieval with relevance feedback. CVPR, 2001.
5. D. Heesch and S. Ruger. Three interfaces for content-based access to image collections. CIVR, pages 491-499, 2004.
6. L. Manevitz and M. Yousef. One-class svms for document classification. J. of machine learning research, 2:139-154, 2004.
7. th Intl. Workshop on Audio-Visual Content and Information Visualization in Digital Libraries, 2005.
8. H. Nguyen and A. Smeulders. Everything gets better all the time, apart from the amount of data. CIVR, 2004.
9. K. Rodden, W. Basalaj, D. Sinclair, and K. Wood. Evaluating a visualization of image similarity as a tool for image browsing. Proceedings of the 1999 IEEE Symposium on Information Visualization, page 36, 1999.
10. K. Rodden, W. Basalaj, D. Sinclair, and K. Wood. Does organisation by similarity assist image browsing? ACM Conference on Human Factors in Computing Systems, pages 190 - 197, 2001.
11. Y. Rui, T. Huang, and S. Mehrotra. Relevance feedback: A power tool for interactive content-based image retrieval. IEEE Trans. on Curcuits and Video Technology, 8(5):644-655, 1998.
12. A. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of early years. PAMI, 22(12):1349-1380, 2000.
13. S. Tong and E. Chang. Support vector machine active learning for image retrieval. ACM conf. on Multimedia, 9:107-118, 2001.
14. X. Zhou and T. Huang. Relevance feedback in image retrieval: a compredensive overview. Multimedia Systems, 8(6):536-544, 2003.