151 search results - page 5 / 31 » Aspect-Based Relevance Learning for Image Retrieval |
MM
2006
ACM
14 years 1 months ago
2006
ACM
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index struct...
ICCV
2007
IEEE
14 years 9 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...
ICMCS
2000
IEEE
14 years 14 hour ago
2000
IEEE
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...