Affective Color Transfer Based on Skin Color Preservation

[[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.[[conferencetype]]國際[[conferencedate]]20131102~20131104[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Aizu-Wakamatsu, Japa

Seeing sound “How to generate visual artworks by analysing a music track and representing it in terms of emotion analysis and musical features?”

Music and visual artwork are a valuable part of our daily life. Since both media induce human emotion, this thesis demonstrates how to convert music into visual artwork such as generative art. Especially, the project shows the method of connecting music emotion to the theme of colour. This thesis describes the human emotional model based on arousal and valence. Also, this thesis explains how colour affects our emotion. In order to connect music emotion into the colour theme, this thesis shows the method to retrieve music information which includes arousal and valence of the music. In order to generate visual artwork from the music, this thesis demonstrates the implementation of working software that integrates music emotion and musical characteristics such as frequency analysis. Besides, this thesis presents how to apply generative artwork into our daily life products. This thesis discusses learning outcomes from the project based on practice-based research methodology. Also, this thesis introduces a further plan related to AI