Calculation and Application of Xin'an Painting School Art Style Model. (November 2020)
- Record Type:
- Journal Article
- Title:
- Calculation and Application of Xin'an Painting School Art Style Model. (November 2020)
- Main Title:
- Calculation and Application of Xin'an Painting School Art Style Model
- Authors:
- Wang, Decheng
Chen, Yan - Abstract:
- Abstract: Artists and critics generally make artistic analysis of paintings based on their experience and subjective consciousness. In order to calculate the art style of the Xin'an School of Painting objectively, this paper attempts to propose several digital features including redundancy, degree of order and complexity to describe the artistic style of paintings algorithm under the framework of computable aesthetics on the basis of Shannon entropy in information theory. Taking the five painters of different periods as the research object, the digital features of the selected paintings are calculated and analyzed. The experimental results show that the proposed digital features can reflect the artistic style and the differences between different artists of the Xin'an School of Painting in different periods to some extent, which are basically consistent with the subjective aesthetic perception of the School.
- Is Part Of:
- Journal of physics. Volume 1651(2020)
- Journal:
- Journal of physics
- Issue:
- Volume 1651(2020)
- Issue Display:
- Volume 1651, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 1651
- Issue:
- 1
- Issue Sort Value:
- 2020-1651-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1651/1/012033 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25376.xml