Image search result clustering and re-ranking via partial grouping

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Volumn , Issue , 2007, Pages 603-606

  Hu, Yang ^a   Yu, Nenghai ^a   Li, Zhiwei ^b   Li, Mingjing ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS;

BUBBLE CLUSTERING; CLUSTERING RESULTS; PARTIAL CLUSTERING; RELEVANCE FEEDBACK; RELEVANCE RANKING; RESEARCH TOPICS; TRADITIONAL CLUSTERING; USER'S FEEDBACKS;

SEARCH ENGINES;

EID: 46449089823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icme.2007.4284722     Document Type: Conference Paper

References (6)

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2. D. Cai, X. He, Z. Li, W.-Y. Ma, and J.-R. Wen, "Hierarchical clustering of www image search results using visual, textual and link information," in Proc. ACM Multimedi'04, pp. 952-959, 2004.
3. G. Gupta and J. Ghosh, "Bregman bubble clustering: A robust, scalable framework for locating multiple, dense regions in data," in Proc. ICDM'06, 2006.
4. T. L. Berg and D. A. Forsyth, "Animals on the web," in Proc. CVPR'06, vol. 2, pp. 1463-1470, 2006.
5. A. Banerjee, I. S. Dhillon, and J. Ghosh, "Clustering with bregman divergences," in JMLR, vol. 6, pp. 1705-1749, 2005.
6. Flickr photo sharing service, http://www.flickr.com/.