Paper
23 December 1999 Apply semantic template to support content-based image retrieval
Yueting Zhuang, Xiaoming Liu, Yunhe Pan
Author Affiliations +
Proceedings Volume 3972, Storage and Retrieval for Media Databases 2000; (1999) https://doi.org/10.1117/12.373576
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
Content-based multimedia information retrieval is the hot point of researchers in many domains. But traditional feature vector based retrieval method can not provide retrieval on the semantic template automatically in the process of relevance feedback, and construct a network of semantic template with the support of WordNet in the retrieval process, which helps the user to do retrieval on the semantic level. By our approach, in the keyword query of the user, relevant images will be returned to the user by the help of semantic template association even those images are not annotated by keyword. This paper introduces this approach in detail and present an experiment result at the end of this paper.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yueting Zhuang, Xiaoming Liu, and Yunhe Pan "Apply semantic template to support content-based image retrieval", Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); https://doi.org/10.1117/12.373576
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Cited by 34 scholarly publications.
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KEYWORDS
Image retrieval

Image processing

Visualization

Databases

Feature extraction

Multimedia

Content based image retrieval

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