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» A Novel Method for Video Retrieval Using Relevant Feedback
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CVPR
2008
IEEE
14 years 8 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
14 years 29 days ago
MUSEMBLE: A Music Retrieval System Based on Learning Environment
Query reformulation has been suggested as an effective way to improve retrieval efficiency in text information retrieval and one of the well-known techniques for query reformulati...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
CIKM
2010
Springer
13 years 5 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
ICPR
2004
IEEE
14 years 7 months ago
Group-based Relevance Feedback with Support Vector Machine Ensembles
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedbac...
Chu-Hong Hoi, Michael R. Lyu
ICMCS
2005
IEEE
117views Multimedia» more  ICMCS 2005»
14 years 10 days 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