Semantic Fusion of Image Annotation

Abstract:

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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 et al., "Semantic Fusion of Image Annotation", Advanced Materials Research, Vols. 268-270, pp. 1386-1389, 2011

Online since:

July 2011

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Price:

$35.00

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