• 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