An Approach of Image Semantic Automatic Tagging Based on SVM

Ju Chun Fu

doi:10.4028/www.scientific.net/AMM.530-531.382

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531An Approach of Image Semantic Automatic Tagging...

An Approach of Image Semantic Automatic Tagging Based on SVM

Abstract:

To find the need of images from Internet is a heavy work, image annotation techniques can be used to help us quickly find the required images, the traditional image annotation method can't between the image and text classification, cannot achieve most web users demand, this paper proposes an image semantic annotation technology automatically, based on the SVM technology. The first we map image visual feature to one or more images of rough concept by using annotation, then we preprocess web page text information, lastly, we selected high similarity of keywords as image annotation. From the experimental effect it can effectively improve the image tagging precision.

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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

382-385

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.382

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Online since:

February 2014

Authors:

Ju Chun Fu*

Keywords:

Image Retrieval, Semantic, Support Vector Machine (SVM)

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* - Corresponding Author

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