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» Unifying Keywords and Visual Contents in Image Retrieval
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ICPR
2006
IEEE
15 years 10 months ago
Adaptive Discriminant Projection for Content-based Image Retrieval
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
Jie Yu, Qi Tian
ICPR
2004
IEEE
15 years 10 months ago
Image Retrieval by Local Evaluation of Nonlinear Kernel Functions around Salient Points
Feature histograms based on the evaluation of Haar integrals with nonlinear kernel functions were used successfully for the purpose of invariant content based image retrieval. In ...
Alaa Halawani, Hans Burkhardt
VISUAL
2005
Springer
15 years 3 months ago
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
Alexandra Teynor, Wolfgang Müller, Wolfgang L...
MM
2010
ACM
192views Multimedia» more  MM 2010»
14 years 10 months ago
iLike: integrating visual and textual features for vertical search
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
IJCAI
2007
14 years 11 months ago
Exploiting Image Contents in Web Search
Web search is a challenging task. Previous research mainly exploits texts on the Web pages or link information between the pages, while multimedia information is largely ignored. ...
Zhi-Hua Zhou, Hong-Bin Dai