Research of computer image aesthetics’ classification and assessment based on support vector machine
Authors
Jian-liang Xiong, Yan-mei Yang
Corresponding Author
Jian-liang Xiong
Available Online March 2016.
- DOI
- 10.2991/icmmct-16.2016.22How to use a DOI?
- Keywords
- Support vector machine, Computer image aesthetics; Classification, Evaluation.
- Abstract
Computer image aesthetics is an interdisciplinary research field, which covering visual arts, psychology, information theory and other disciplines. And it depends on the image processing and computer vision to solve specific problems. This paper will design a comprehensive computer image aesthetic evaluation model, containing aesthetic categories and scores prediction, which will be realized by SVM classifier and SVR algorithm. Experiments show that the model’s experimental results are in conformity with human aesthetic perception results.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jian-liang Xiong AU - Yan-mei Yang PY - 2016/03 DA - 2016/03 TI - Research of computer image aesthetics’ classification and assessment based on support vector machine BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 115 EP - 120 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.22 DO - 10.2991/icmmct-16.2016.22 ID - Xiong2016/03 ER -