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DuHo, Pak
- Age Estimation with Regard for Classifiable Ability of Each Component in Reduced Dimension Age Manifold
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Authors
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1 Institute of Information Science, Kim II Sung University, D.P.R. of Korea, KP
1 Institute of Information Science, Kim II Sung University, D.P.R. of Korea, KP
Source
ICTACT Journal on Image and Video Processing, Vol 8, No 3 (2018), Pagination: 1716-1721Abstract
A new age estimation method that takes classifiable ability of each component in age manifold into account is considered. First, we analysis the age classification rate of each component in reduced dimension age manifold. Second, we apply this property to kernel function in popular method such as SVM. This is implemented by weighted kernel function. Finally, we evaluate this method in “wild” face image database. Experimental results demonstrate the effectiveness and robustness of our proposed framework.Keywords
Age Estimation, Support Vector Machine, Support Vector Regression.
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- Semantic Image Description and Classification Based on Generalized Set
Abstract Views :204 |
PDF Views:7
Authors
Affiliations
1 Institute of Information Science, Kim II Sung University, KP
1 Institute of Information Science, Kim II Sung University, KP
Source
ICTACT Journal on Image and Video Processing, Vol 8, No 4 (2018), Pagination: 1781-1785Abstract
A semantic image description model based on generalized set is proposed, and the semantic similarity (distance) measure between images is presented. Semantic image information can be completely represented in this model as compared with previous researches based on vector space. The semantic image description model based on generalized set is similar to human understanding of image knowledge. For the purpose of the semantic image classification, semantic distance based on support vector machine classifier is employed. Experimental results show the validity of new method, and that the image classification accuracy is improved.Keywords
Semantic Image Description, Image Classification, Generalized Set.References
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