151 search results - page 10 / 31 » Aspect-Based Relevance Learning for Image Retrieval |
MIR
2004
ACM
14 years 1 months ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
Information retrieval techniques have to face both the growing amount of data to be processed and the "natural" distribution of these data over the network. Hence, we in...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
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...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...