Affective color transfer based on skin color preservation

Hui Wen Wan, Timothy K. Shih, Shwu Huey Yen, Chun Hong Huang

Research output: Contribution to conferencePaperpeer-review

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.

Original languageEnglish
Pages620-625
Number of pages6
DOIs
StatePublished - 2013
Event2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013 - Aizuwakamatsu, Japan
Duration: 2 Nov 20134 Nov 2013

Conference

Conference2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013
Country/TerritoryJapan
CityAizuwakamatsu
Period2/11/134/11/13

Keywords

  • Affective analysis
  • Affective computing
  • Color transfer
  • Emotional semantic image retrieval

Fingerprint

Dive into the research topics of 'Affective color transfer based on skin color preservation'. Together they form a unique fingerprint.

Cite this