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» Evaluating content-based filters for image and video retriev...
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MVA
2006
205views Computer Vision» more  MVA 2006»
13 years 7 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
ICIP
2001
IEEE
14 years 9 months ago
A new perceived motion based shot content representation
Motion information is an important cue for human to perceive video content. However, it is hard to use motion in video retrieval due to the lack of effective representation. In th...
Yu-Fei Ma, HongJiang Zhang
ISCIS
2009
Springer
14 years 2 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen