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» Estimating Missing Features to Improve Multimedia Retrieval
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CVPR
2011
IEEE
14 years 7 months ago
Learning Object Color Models from Multi-view Constraints
Color is known to be highly discriminative for many object recognition tasks, but is difficult to infer from uncontrolled images in which the illuminant is not known. Traditional...
Trevor Owens, Kate Saenko, Trevor Darrell, Ayan Ch...
MCAM
2007
Springer
112views Multimedia» more  MCAM 2007»
15 years 5 months ago
SIEVE - Search Images Effectively Through Visual Elimination
Existing Web image search engines index images by textual descriptions including filename, image caption, surrounding text, etc. However, the textual description available on the W...
Ying Liu, Dengsheng Zhang, Guojun Lu
SIGIR
2008
ACM
14 years 11 months ago
Learning to rank at query-time using association rules
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...
ICMCS
2005
IEEE
117views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Interactive Clustering of Video Segments for Media Structuring
Structuring video data is necessary for its effective retrieval and summarization. In particular, collecting similar scenes from semantic aspects highly contributes to the structu...
Yukihiro Kinoshita, Naoko Nitta, Noboru Babaguchi
IJCAI
2007
15 years 1 months ago
Exploiting Image Contents in Web Search
Web search is a challenging task. Previous research mainly exploits texts on the Web pages or link information between the pages, while multimedia information is largely ignored. ...
Zhi-Hua Zhou, Hong-Bin Dai