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テクスチャー画像および絵画に対する複雑さの知覚モデルの構築
著者
郭 小英
キーワード
visual complexity
texture images
painting images
kansei engineering
affective engineering
image features
support vector machine
color complexity
understandability.
NDC
情報科学
抄録(英)
This thesis devotes to building a relationship between human visual complexity perception and objective image features.

Visual complexity of images is a worth-well investigation. It has a wide range of applications from computer science (emotion semantic image retrieval, digital watermarking and image analysis, etc.) to arts (the design of product surface, wallpapers, painting appreciation and selection, etc.). Various methods for computing image complexity have been developed depending on different applications, such as information theory, fractal dimension, quad tree method, etc. However, these measures are not sufficiently related to human visual perception of complexity. Intuitively, visual complexity is influenced by various factors perceived by humans from the image, not directly related to simple objective measures like distribution of spatial frequencies.……
言語
英語
NII資源タイプ
学位論文
広大資料タイプ
学位論文
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
ETD
権利情報
Copyright(c) by Author
学位記番号
甲第6232号
授与大学
広島大学(Hiroshima University)
学位名
博士(工学)
学位名の英名
Engineering
学位の種類の英名
doctoral
学位授与年月日
2013-09-25
部局名
工学研究科