| id |
sigradi2021_72 |
| authors |
Kocer Ozgun, Feyza Nur and Alaçam, Sema |
| year |
2021 |
| title |
Pixel-Based Geometric Decoding of Mondrian Compositions |
| source |
Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 103–114 |
| summary |
This study explores the use of a computational method for decoding and encoding an art composition in the digital environment. Geometric decoding includes subdivision through color and shape. Five artworks of Mondrian, which contain simple but intense geometric data and have a unique composition style, are discussed in this context. Matrix-based expression of composition in terms of color and form with a code-based analysis allowed to definition of a control mechanism for existing geometric data. The aim of this decoding process, which follows segmentation and fragmentation methods, is to capture the common composition approach and particular comparison approach. Visual encoding, as the reverse of the decoding process, is the interpretation of the data obtained as a result of the analysis by assigning a color map. By this meanings, the matrixes and visual outputs enable the artworks to be compared according to the main composition style, or the similarities between them. |
| keywords |
Geometric decoding, Mondrian, pixel-based, visual encoding |
| series |
SIGraDi |
| email |
|
| full text |
 file.pdf (768,757 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/05/23 12:10 |
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