96 search results - page 4 / 20 » Learning to rank for content-based image retrieval |
94
Voted
ICIP
2000
IEEE
15 years 11 months ago
2000
IEEE
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
106
click to vote
MLDM
2001
Springer
15 years 1 months ago
2001
Springer
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
116
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Over the past decade, multiple-instance learning (MIL)
has been successfully utilized to model the localized
content-based image retrieval (CBIR) problem, in which a
bag corresp...
101
Voted
SSPR
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. Nowadays, multimedia documents composed of text and images are increasingly used, thanks to the Internet and the increasing capacity of data storage. It is more and more ...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...