56 search results - page 2 / 12 » Probabilistic Region Relevance Learning for Content-Based Im... |
ICMCS
2000
IEEE
13 years 9 months ago
2000
IEEE
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
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 ...
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 ...
ICCV
2007
IEEE
14 years 6 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...
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...