49 search results - page 2 / 10 » Dynamic feature weights with relevance feedback in content-b... |
ICIP
2000
IEEE
14 years 6 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 ...
MLDM
2001
Springer
13 years 9 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...
SIGMOD
2003
ACM
14 years 5 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 ...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
ICMCS
2000
IEEE
13 years 9 months 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...