DocumentCode
3465244
Title
Visual Complexity Perception and Texture Image Characteristics
Author
Xiaoying Guo ; Asano, Chie Muraki ; Asano, Akira ; Kurita, Taiichiro
Author_Institution
Dept. of Inf. Eng., Hiroshima Univ., Hiroshima, Japan
fYear
2011
fDate
19-22 Sept. 2011
Firstpage
260
Lastpage
265
Abstract
Visual complexity perception is an important issue in the fields of psychology and computer vision because it leads to the better understanding of the nature of human perception as well as the properties of the objects being perceived. In this study, five important characteristics of texture images that affect visual complexity perception are identified: regularity, understandability, roughness, directionality, and density. Among these, understandability is a deterministic characteristic, which reflects the viewer´s prior knowledge and experience. These characteristics significantly affect the visual complexity perception of texture images. In order to achieve our objective, we carried out two experiments involving visual complexity assessment and paired comparison evaluation with 30 respondents. We applied correlation analysis, factor analysis, and multidimensional scaling to analyze the collected data. The experimental results showed that most of the human impressions of visual complexity can be explained by the perceived characteristics of texture images.
Keywords
computational complexity; computer vision; image texture; psychology; computer vision; correlation analysis; density; directionality; factor analysis; human perception; multidimensional scaling; psychology vision; regularity; roughness; texture image characteristics; understandability; visual complexity perception; Complexity theory; Correlation; Humans; Linear regression; Psychology; Visual perception; Visualization; Kansei; multidimensional scaling; texture perception; visual complexity;
fLanguage
English
Publisher
ieee
Conference_Titel
Biometrics and Kansei Engineering (ICBAKE), 2011 International Conference on
Conference_Location
Takamatsu, Kagawa
Print_ISBN
978-1-4577-1356-9
Electronic_ISBN
978-0-7695-4512-7
Type
conf
DOI
10.1109/ICBAKE.2011.13
Filename
6031290
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