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» Image Retrieval: The MIRACLE Approach
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CVPR
2009
IEEE
1010views Computer Vision» more  CVPR 2009»
16 years 8 months ago
A Family of Contextual Measures of Similarity between Distributions with Application to Image Retrieval
During this talk, I will introduce a novel family of contextual measures of similarity between distributions: the similarity between two distributions q and p is measured in the co...
Florent Perronnin (Xerox Research Centre Europe), ...
CVPR
2008
IEEE
16 years 3 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang
132
Voted
CVPR
2008
IEEE
16 years 3 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....
IR
2000
15 years 1 months ago
End-User Searching Challenges Indexing Practices in the Digital Newspaper Photo Archive
: Previous research in conceptual indexing methods of images has furnished us with refined theoretical frameworks characterising various aspects of images that could and should be ...
Marjo Markkula, Eero Sormunen
VISUAL
2007
Springer
15 years 7 months ago
Salient Region Filtering for Background Subtraction
The use of salient regions is an increasingly popular approach to image retrieval. For situations where object retrieval is required and where the foreground and background can be ...
Wasara Rodhetbhai, Paul H. Lewis