75 search results - page 4 / 15 » Ontology for Nature-Scene Image Retrieval |
WEBI
2004
Springer
14 years 23 days ago
2004
Springer
Although much progress has been made, current lowlevel based visual information retrieval technology does not allow users to formulate queries through high-level semantics. More a...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
CAISE
2006
Springer
13 years 11 months ago
2006
Springer
One of the major problems in CBIR is the so-called `semantic gap': the difference between low-level features, extracted from images, and the high-level `information need'...
IJACTAICIT
2010
13 years 4 months ago
2010
Human superiority over computers in identifying natural objects like clouds, water, grass etc. comes from two capabilities: the capability to maintain a growing knowledge base per...
RIAO
2007
13 years 8 months ago
2007
Search engines are among the most useful Internet applications. There exist several media types on the Web and, given the particularities of each of them, adapted search solutions...