60 search results - page 4 / 12 » The Impact of Positive, Negative and Topical Relevance Feedb... |
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
68
Voted
ESWA
2008
14 years 9 months ago
2008
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
ICMCS
2007
IEEE
15 years 3 months ago
2007
IEEE
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
ICIAR
2007
Springer
15 years 3 months ago
2007
Springer
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...