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PR
2002
140views more  PR 2002»
13 years 4 months ago
Negotiating the semantic gap: from feature maps to semantic landscapes
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic inde...
Rong Zhao, William I. Grosky
TMM
2002
140views more  TMM 2002»
13 years 4 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
13 years 10 months ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom
ESWA
2008
173views more  ESWA 2008»
13 years 5 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
ISBI
2009
IEEE
13 years 12 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...