Paper Title:
Semantic Fusion of Image Annotation
  Abstract

In this paper, improve the image annotation with semantic meaning, and name the new algorithm for semantic fusion of image annotation, that is a image is given to be labeled, use of training data set, the word set, and a collection of image area and other information to establish the probability model ,estimates the joint probability by word and given image areas.The probability value as the size, combined with keywords relevant table that integrates lexical semantics to extract keywords as the most representative image semantic annotation results. The algorithm can effectively use large-scale training data with rich annotation, so as to achieve better recall and precision than the existing automatic image annotation ,and validate the algorithm in the Corel data set.

  Info
Periodical
Advanced Materials Research (Volumes 268-270)
Edited by
Feng Xiong
Pages
1386-1389
DOI
10.4028/www.scientific.net/AMR.268-270.1386
Citation
X. Y. Wu, Y. J. Liang, L. Li, L. J. Ma, "Semantic Fusion of Image Annotation", Advanced Materials Research, Vols. 268-270, pp. 1386-1389, 2011
Online since
July 2011
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Price
$32.00
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