Asymmetric learning and dissimilarity spaces for content-based retrieval

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

Volumn 4071 LNCS, Issue , 2006, Pages 330-339

  Bruno, Eric ^a   Moenne Loccoz, Nicolas ^a   Marchand Maillet, Stéphane ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; LEARNING ALGORITHMS; MULTIMEDIA SYSTEMS;

ARTIFICIAL DATA; CLASSIFICATION PROBLEM; MULTIMEDIA RETRIEVAL; QUERY BASED DISSIMILARITY SPACE (QDS);

CONTENT BASED RETRIEVAL;

EID: 33746624866     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11788034_34     Document Type: Conference Paper

References (13)

1. Liudmila Boldareva and Djoerd Hiemstra. Interactive content-based retrieval using pre-computed object-object similarities. In Conference on Image and Video Retrieval, CIVR04, pages 308-316, Dublin, Ireland, 2004.
2. Eric Bruno, Nicolas Moenne-Loccoz, and Stphane Marchand Maillet. Learning user queries in multimodal dissimilarity spaces. In Proceedings of the 3rd International Workshop on Adaptive Multimedia Retrieval, AMR'05, Glasgow, UK, July 2005.
3. E. Y. Chang, B. Li, G. Wu, and K. Go. Statistical learning for effective visual information retrieval. In Proceedings of the IEEE International Conference on Image Processing, 2003.
4. E. Chávez, G. Navarro, R. Baeza-Yates, and J.L. Marroquin. Searching in metric spaces. ACM Computing Surveys, 33(3):273-321, September 2001.
5. Y. Chen, X.S. Zhou, and T.S. Huang. One-class svm for learning in image retrieval. In IEEE International Conference on Image Processing, 2001.
6. T.F. Cox and M.A.A. Cox. Multidimensional scaling. Chapman & Hall, London, 1995.
7. D Heesch and S Rueger. Nnk networks for content-based image retrieval. In 26th European Conference on Information Retrieval, Sunderland, UK, 2004.
8. E. Pekalska, P. Paclk, and R.P.W. Duin. A generalized kernel approach to dissimilarity-based classification. Journal of Machine Learning Research, 2:175-211, December 2001.
9. A. F. Smeaton, P. Over, and W. Kraaij. Trecvid: Evaluating the effectiveness of information retrieval tasks on digital video. In Proceedings of the ACM MM'04, pages 652-655, New York, NY, 2004.
10. R. Yan, A. Hauptmann, and R. Jin. Negative pseudo-relevance feedback in content-based video retrieval. In Proceedings of ACM Multimedia (MM2003), Berkeley, USA, 2003.
11. Ruofei Zhang and Zhongfei (Mark) Zhang. Stretching bayesian learning in the relevance feedback of image retrieval. In proceedings of the 8th European Conference on Computer Vision (ECCV), Prague, Czech Republic, 2004.
12. X.S. Zhou, A. Garg, and T.S. Huang. A discussion of nonlinear variants of biased discriminant for interactive image retrieval. In Proc. of the 3rd Conference on Image and Video Retrieval, CIVR'04, pages 353-364, 2004.
13. X.S. Zhou and T.S. Huang. Small sample learning during multimedia retrieval using biasmap. In Proceedings of the IEEE Conference on Pattern Recognition and Computer Vision, CVPR'01, volume I, pages 11-17, Hawaii, 2004.