256 search results - page 19 / 52 » A two-level relevance feedback mechanism for image retrieval |
66
Voted
ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
Content-based image retrievalsystems use low-levelfeatures like color and texturefor image representation. Given these representationsasfeature vectors, similarity between images ...
CISST
2004
14 years 11 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
MTA
2006
14 years 9 months ago
2006
In this paper, an object-based video retrieval methodology for search in large, heterogeneous video collections is presented. The proposed approach employs a real-time, compressed-...
TKDE
2008
14 years 9 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
MM
2000
ACM
15 years 2 months ago
2000
ACM
Images are increasingly being embedded in HTML documents on the WWW. Such documents over the WWW essentially provides a rich source of image collection from which users can query....