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» Image Retrieval: The MIRACLE Approach
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IVC
2007
97views more  IVC 2007»
13 years 7 months ago
Stochastic exploration and active learning for image retrieval
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
Matthieu Cord, Philippe Henri Gosselin, Sylvie Phi...
PCM
2010
Springer
156views Multimedia» more  PCM 2010»
13 years 5 months ago
A New Text Detection Algorithm for Content-Oriented Line Drawing Image Retrieval
Abstract. Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to th...
Zhenyu Zhang, Tong Lu, Feng Su, Ruoyu Yang
TIP
2008
185views more  TIP 2008»
13 years 6 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
MMM
2011
Springer
251views Multimedia» more  MMM 2011»
12 years 11 months ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...
TIP
2002
128views more  TIP 2002»
13 years 7 months ago
Fuzzy color histogram and its use in color image retrieval
A conventional color histogram (CCH) considers neither the color similarity across different bins nor the color dissimilarity in the same bin. Therefore, it is sensitive to noisy i...
Ju Han, Kai-Kuang Ma