33 search results - page 1 / 7 » Update Relevant Image Weights for Content-Based Image Retrie... |
ICMCS
2000
IEEE
13 years 8 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 5 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 ...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
SPIESR
1998
13 years 5 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...
ISCIS
2009
Springer
13 years 11 months ago
2009
Springer
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...