30 search results - page 1 / 6 » Bridging the Semantic Gap Using Ranking Svm for Image Retrie... |
ISBI
2009
IEEE
13 years 11 months ago
2009
IEEE
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
TMM
2010
12 years 11 months ago
2010
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
VIP
2003
13 years 5 months ago
2003
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
ESWA
2008
13 years 4 months ago
2008
Traditional content-based image retrieval (CBIR) systems often fail to meet a user's need due to the `semantic gap' between the extracted features of the systems and the...