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» A Novel Method for Video Retrieval Using Relevant Feedback
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CVPR
2005
IEEE
14 years 1 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
TCSV
2011
13 years 2 months ago
Concept-Driven Multi-Modality Fusion for Video Search
—As it is true for human perception that we gather information from different sources in natural and multi-modality forms, learning from multi-modalities has become an effective ...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo
ANLP
1997
137views more  ANLP 1997»
13 years 8 months ago
An Intelligent Multilingual Information Browsing and Retrieval System Using Information Extraction
In this paper, we describe our multilingual (or cross-linguistic) information browsing and retrieval system, which is aimed at monolingual users who are interested in information ...
Chinatsu Aone, Nicholas Charocopos, James Gorlinsk...
MM
2006
ACM
108views Multimedia» more  MM 2006»
14 years 1 months ago
Video search reranking via information bottleneck principle
We propose a novel and generic video/image reranking algorithm, IB reranking, which reorders results from text-only searches by discovering the salient visual patterns of relevant...
Winston H. Hsu, Lyndon S. Kennedy, Shih-Fu Chang
ICCV
2007
IEEE
14 years 9 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla