Title: Enhancing emotion using an emotion model

Authors: Heekyung Yang

Addresses: Department of Computer Science, Graduate School, Sangmyung University, Seoul, 110-743, South Korea

Abstract: In this paper, we enhance the emotion of visual contents based on a scheme established using Russells emotion model and Kansei engineering. We present a mapping between the emotions defined in Russells emotion space and the colour, tone and contrast. For an efficient mapping, we present a scheme that enables users to conveniently segment the contents into foreground and background and to apply our emotion motion selectively. The segmentation of the foreground from the background is implemented by the support of an image abstraction algorithm. This method can be applied to a variety of visual contents such as images, movies and animations. We finally prove the effectiveness of our scheme by executing a user test.

Keywords: emotion model; colour models; visual content; Russell; kansei engineering; emotions; segmentation; image abstraction; images, movies; films; animation.

DOI: 10.1504/IJAMC.2014.060504

International Journal of Advanced Media and Communication, 2014 Vol.5 No.2/3, pp.128 - 134

Available online: 17 Apr 2014 *

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