157 search results - page 6 / 32 » Relevance Feedback Techniques in Interactive Content-Based I... |
CISST
2004
14 years 8 days 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...
ICMCS
2000
IEEE
14 years 3 months ago
2000
IEEE
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
JMLR
2010
13 years 5 months ago
2010
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
ICPR
2000
IEEE
14 years 12 months ago
2000
IEEE
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
ECML
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...