507 search results - page 7 / 102 » Textural Features and Relevance Feedback for Image Retrieval |
SPIESR
1998
15 years 1 months ago
1998
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
115
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SIGMOD
2003
ACM
15 years 11 months ago
2003
ACM
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
127
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ICIP
2001
IEEE
16 years 1 months ago
2001
IEEE
Various relevance feedback algorithms have been proposed in recent years in the area of content-based image retrieval. This paper gives a brief review and analysis on existing tec...
TKDE
2008
14 years 11 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
117
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WILF
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...