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» A quasi-random sampling approach to image retrieval
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VIP
2003
13 years 9 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
CLEF
2009
Springer
13 years 5 months ago
The University of Amsterdam's Concept Detection System at ImageCLEF 2009
Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of...
Koen E. A. van de Sande, Theo Gevers, Arnold W. M....
CIVR
2007
Springer
112views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Canonical image selection from the web
The vast majority of the features used in today’s commercially deployed image search systems employ techniques that are largely indistinguishable from text-document search – t...
Yushi Jing, Shumeet Baluja, Henry A. Rowley
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
CVPR
2005
IEEE
14 years 10 months ago
Computer Vision for Music Identification
We describe how certain tasks in the audio domain can be effectively addressed using computer vision approaches. This paper focuses on the problem of music identification, where t...
Yan Ke, Derek Hoiem, Rahul Sukthankar