77 search results - page 8 / 16 » Active Concept Learning for Image Retrieval in Dynamic Datab... |
BDA
2007
13 years 9 months ago
2007
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
TKDE
2008
13 years 7 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
KES
2005
Springer
14 years 29 days ago
2005
Springer
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
MM
2004
ACM
14 years 27 days ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...