A Cloud Support Vector Machine Model Based on Image Semantics

Ling Xing; Wei Zhao; Rong Fu

doi:10.4028/www.scientific.net/AMM.411-414.1170

Paper Titles

Facial Expression Recognition Based on PSO Optimization
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RL Algorithm for Passive Millimeter Wave Imaging Based on BM3D
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An Improved Touching-Cell Splitting Algorithm Based on Bottleneck Detection
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A New Regularization Model Based on Non-Local Means for Image Deblurring
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A Cloud Support Vector Machine Model Based on Image Semantics
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The Research on Crack Recognition of Ancient Building Painting Based on Curve Analysis
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Locality Preserving Maximum Scatter Difference Projection for Face Recognition
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JPEG Steganalysis Based on Locality Preserving Projection Dimensionality Reduction Method
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A New Adaptive Image Fusion Technique of CT and MRI Images Based on Dual-Tree Complex Wavelet Transform
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414A Cloud Support Vector Machine Model Based on...

A Cloud Support Vector Machine Model Based on Image Semantics

Abstract:

In allusion to randomness and fuzziness of digital image semantic, we propose a new semantic representation of digital image based on cloud model and construct a semantic vector space. In this space, semantic classifications of digital images are completed by calculating the semantic class certainty degree (SCCD). In addition, we propose cloud support vector machine based on image semantics (CSVM-IS) model. Experimental results show that CSVM-IS can accomplish target classification and has good classification accuracy.