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ISBI
2009
IEEE
9 years 6 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
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...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
TMM
2010
249views Management» more  TMM 2010»
8 years 5 months ago
Bridging the Semantic Gap Between Image Contents and Tags
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...
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
SIGIR
2008
ACM
8 years 11 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
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...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
VIP
2003
9 years 16 days ago
Using Dual Cascading Learning Frameworks for Image Indexing
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...
Joo-Hwee Lim, Jesse S. Jin
ESWA
2008
173views more  ESWA 2008»
8 years 11 months ago
Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps
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...
Hsin-Chang Yang, Chung-Hong Lee
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