RankCompete: Simultaneous ranking and clustering of web photos

Proceedings of the 19th International Conference on World Wide Web, WWW '10

Volumn , Issue , 2010, Pages 1071-1072

  Cao, Liangliang ^a   Del Pozo, Andrey ^a   Jin, Xin ^b   Luo, Jiebo ^c   Han, Jiawei ^b   Huang, Thomas S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b UIUC   (United States)

^c EASTMAN KODAK COMPANY   (United States)

Author keywords

image ranking; image summarization; pagerank

Indexed keywords

EFFECTIVE TOOL; EFFICIENT METHOD; EXPLOSIVE GROWTH; IMAGE COLLECTIONS; IMAGE SUMMARIZATION; LARGE IMAGES; LINK STRUCTURE; NOVEL ALGORITHM; ONLINE MEDIA; PAGERANK; PAGERANK ALGORITHM; PHOTO COLLECTIONS; VISUAL SIMILARITY;

CAMERAS; CLUSTERING ALGORITHMS; WORLD WIDE WEB;

MILITARY PHOTOGRAPHY;

EID: 77954580772     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1772690.1772809     Document Type: Conference Paper

References (6)

1. ImageCLEF 2008. http://www.imageclef.org/2008/photo.
2. L. Cao, et al. Competing random walk model for ranking and clustering. IFP group Technical Report, UIUC, 2010.
3. T.-S. Chua, et al. NUS-WIDE: A real-world web image database from national university of singapore. CIVR, 2009.
4. Y. Jing and S. Baluja. Pagerank for product image search. WWW, 2008.
5. D. Lowe. Object recognition from local scale-invariant features. ICCV, 1999.
6. L. Page et al., The pagerank citation ranking: Bringing order to the web. Stanford Digital Libraries Working Paper, 1998.