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» Using High-Level Semantic Features in Video Retrieval
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MM
2006
ACM
217views Multimedia» more  MM 2006»
15 years 3 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
ICPR
2000
IEEE
15 years 2 months ago
Locale-Based Visual Object Retrieval under Illumination Change
Providing a user with an effective image search engine has been a very active research area. A search by an object model is considered to be one of the most desirable and yet difï...
Zinovi Tauber, Ze-Nian Li, Mark S. Drew
MMS
2006
14 years 9 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
APWEB
2004
Springer
15 years 3 months ago
Semantic, Hierarchical, Online Clustering of Web Search Results
Today, search engine is the most commonly used tool for Web information retrieval, however, its current status is still far from satisfaction. This paper focuses on clustering Web...
Dell Zhang, Yisheng Dong
JASIS
2006
106views more  JASIS 2006»
14 years 9 months ago
Web unit-based mining of homepage relationships
Abstract Homepages usually describe important semantic information about conceptual or physical entities, and are hence the main targets for searching and browsing. To facilitate s...
Aixin Sun, Ee-Peng Lim