Modeling the Perception of Visual Complexity in Texture Images and Painting Images
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この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00035133
| ファイル情報(添付) | |
| ファイル情報(添付) | |
| ファイル情報(添付) | |
| タイトル ( eng ) |
Modeling the Perception of Visual Complexity in Texture Images and Painting Images
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| タイトル ( jpn ) |
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
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| 作成者 |
郭 小英
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| 抄録 |
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.…… |
| 著者キーワード |
visual complexity
texture images
painting images
kansei engineering
affective engineering
image features
support vector machine
color complexity
understandability.
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| NDC分類 |
情報科学 [ 007 ]
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| 言語 |
英語
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| 資源タイプ | 博士論文 |
| 権利情報 |
Copyright(c) by Author
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| 出版タイプ | Not Applicable (or Unknown)（適用外。または不明） |
| アクセス権 | オープンアクセス |
| 学位授与番号 | 甲第6232号 |
| 学位名 | |
| 学位授与年月日 | 2013-09-25 |
| 学位授与機関 |
広島大学
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