Paper Title:
Research on High-Level Semantic Image Retrieval
  Abstract

This paper presented the key problems to shorten “semantic gap” between low-level visual features and high-level semantic features to implement high-level semantic image retrieval. First, introduced ontology based semantic image description and semantic extraction methods based on machine learning. Then, illustrated image grammar on the high-level semantic image understanding and retrieval, and-or graph and context based methods of semantic image. Finally, we discussed the development directions and research emphases in this field.

  Info
Periodical
Advanced Materials Research (Volumes 268-270)
Edited by
Feng Xiong
Pages
1427-1432
DOI
10.4028/www.scientific.net/AMR.268-270.1427
Citation
C. Y. Ri, M. Yao, "Research on High-Level Semantic Image Retrieval", Advanced Materials Research, Vols. 268-270, pp. 1427-1432, 2011
Online since
July 2011
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Price
$32.00
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