DocumentCode :
3547383
Title :
Affective color transfer based on skin color preservation
Author :
Hui-Wen Wan ; Shih, Timothy K. ; Shwu-Huey Yen ; Chun-Hong Huang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
fYear :
2013
fDate :
2-4 Nov. 2013
Firstpage :
620
Lastpage :
626
Abstract :
As we know, color, one of important features for composing images, can affect people on emotional level. Photographers and designers can enhance desired color in their work to convey feeling, especially in wedding pictures. In this paper, affective color transfer is proposed; we focus on implementing color transfer in wedding pictures to make overall color theme of input image be similar with reference image. The proposed skin color preserving phase prevents skin color from over-modification in original color transfer. Furthermore, we attach importance about the harmony of output image, combing both the opacity of input and output image in color transfer to reduce visual distortion. Another mechanism is affective analysis in images. First, we define affective classes and then extract affective colors in the image to classify the affective class. By using saliency map, we extracted the affective color in the image exactly. Finally, experiment results of affective analysis and affective color transfer have confirmed the effectiveness of our proposed method.
Keywords :
feature extraction; image classification; image colour analysis; image enhancement; psychology; affective class classification; affective color extraction; affective color transfer; affective image analysis; color enhancement; emotional level; input image color theme; input image opacity; output image opacity; reference image; saliency map; skin color over-modification; skin color preserving phase; visual distortion reduction; wedding pictures; Covariance matrices; Equations; Image color analysis; Mathematical model; Quantization (signal); Skin; Visualization; Affective computing; affective analysis; color transfer; emotional semantic image retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA), 2013 International Joint Conference on
Conference_Location :
Aizuwakamatsu
Type :
conf
DOI :
10.1109/ICAwST.2013.6765514
Filename :
6765514
Link To Document :
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