197 search results - page 13 / 40 » Using Bayesian classifier in relevant feedback of image retr... |
AMR
2007
Springer
14 years 1 months ago
2007
Springer
The goal of this paper is to study the image-concept relationship as it pertains to image annotation. We demonstrate how automatic annotation of images can be implemented on partia...
PCM
2007
Springer
14 years 1 months ago
2007
Springer
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper, an efficient method using various histogrambased (high-dimensional) image content descriptors for automatically classifying general color photos into relevant categ...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Content-based image retrievalsystems use low-levelfeatures like color and texturefor image representation. Given these representationsasfeature vectors, similarity between images ...
PR
2007
13 years 7 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...