148 search results - page 8 / 30 » Relevance feedback based on genetic programming for image re... |
ICDE
2006
IEEE
14 years 8 months ago
2006
IEEE
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
PR
2011
12 years 10 months ago
2011
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
VDB
1998
13 years 8 months ago
1998
This paper focuses on the retrieval of complex images based on their textural content. We use GMRF for texture discrimination and a region-growing algorithm for texture segmentati...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
Users of image databases often prefer to retrieve relevant images by categories. Unfortunately, images are usually indexed by low-level features like color, texture and shape, whi...