本文關(guān)鍵詞：可計算圖像美學研究進展，，由筆耕文化傳播整理發(fā)布。

可計算圖像美學研究進展

Review for computational image aesthetics

[1] [2] [3]

Wang Weining, Yi Jingjian, He Qianhua （School of Electronic and Information, South China University of Technology, Guangzhou 510640, China）

華南理工大學電子與信息學院,廣州510640

文章摘要：可計算圖像美學研究目的是希望計算機能夠模擬人類的視覺系統(tǒng)與審美思維對圖像進行美學價值的判斷。其研究成果可以應(yīng)用到融合主觀感知的基于語義的圖像檢索、圖像美學質(zhì)量評估、圖像的美學修正、攝影的美學預(yù)測、藝術(shù)作品風格分析、人機交互等方面。該研究涉及美學、藝術(shù)、認知科學、計算機科學、心理學等多個學科。屬于多學科交叉的創(chuàng)新性前沿研究課題，具有重要的理論研究價值和應(yīng)用前景。總結(jié)國際上最新研究成果，對該研究的常用方法和存在問題進行了系統(tǒng)的分析及綜述，給出了可計算圖像美學分析研究的一般框架，對圖像的審美度量、美學視覺特征提取和美學推導等關(guān)鍵技術(shù)，以及圖像美學的應(yīng)用與發(fā)展前景等進行了詳細討論，并且針對當前研究存在的問題提出關(guān)鍵的解決方案。

Abstr：The purpose of the computational image aesthetics research is to endow computer with the ability to assess the aesthetics value of images as human beings do. The results can be used in many fields, for example semantic-based image retrieval, fusing the subjective perception, image aesthetics evaluation, image aesthetics retouching, photograph aesthetics prediction, art works style analysis and man-machine interaction. Computational image aesthetics is a new interdisciplinary advanced topic with good developing prospect, while it involves different subjects, including Aesthetics, Art, Cognitive Sci- ence, Computer Science, Psychology, and so on. In this paper, the latest achievements of the computation image aesthetics research are introduced at first, then a general framework of the computational image aesthetics is proposed after the analy- sis and summary of methods commonly applied in this field. Additionally, we point out the exiting problems and we discuss including image aesthetics measurement, extraction of aesthetics vision features, aesthetics deduction, and also the applica- tion and future developments of image aesthetics. Furthermore, some crucial solutions are pointed out to solve the exiting problems.

文章關(guān)鍵詞：

Keyword：:image aesthetics aesthetics vision features aesthetics measure aesthetics classification

課題項目：國家自然科學基金項目（60602014,60972132）;廣東省自然科學基金團隊項目（9351064101000003）;中央高�；究蒲谢痦椖浚�2009ZM0180）

作者信息：會員可見

  本文關(guān)鍵詞：可計算圖像美學研究進展，由筆耕文化傳播整理發(fā)布。