36 search results - page 4 / 8 » Relevance Feedback and Term Weighting Schemes for Content-Ba... |
ICMCS
2000
IEEE
13 years 9 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...
ACCV
2006
Springer
13 years 10 months ago
2006
Springer
Relevance feedback (RF) and region-based image retrieval (RBIR) are two widely used methods to enhance the performance of contentbased image retrieval (CBIR) systems. In this paper...
MM
2004
ACM
13 years 10 months ago
2004
ACM
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
MIR
2006
ACM
13 years 10 months ago
2006
ACM
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
CIVR
2006
Springer
13 years 8 months ago
2006
Springer
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...