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Research on Images Semantic Mining Based on Visual Language Model
Received date: 2012-10-09
Revised date: 2013-02-12
Online published: 2013-03-05
For the features of images, this paper proposes a binary visual language model of the image and a new image semantic mining method. Firstly, it presents each image as a matrix constituted by the visual words, selects the visual words by calculating their weighting value and develops a new image visual language model. According to the Bayesian formula, this paper establishes the image semantic mining method based on visual language model. The experimental result shows that this method is effective in the descriptive ability and distinction of image semantic, fully reflects the understanding of image content and has a very good application value.
Jin Cong , Liu Jinan , Jin Shuwei . Research on Images Semantic Mining Based on Visual Language Model[J]. Library and Information Service, 2013 , 57(05) : 120 -123 . DOI: 10.7536/j.issn.0252-3116.2013.05.021
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