Title: Emotional semantic analysis for images using behavioural experiments in open environments

Authors: Jian-Fang Cao; Jun-Jie Chen; Shao-yun Bai

Addresses: Department of Computer Science & Technology, Xinzhou Teachers University, Xinzhou City, China; College of Computer Science & Technology, Taiyuan University of Technology, Taiyuan City, China ' College of Computer Science & Technology, Taiyuan University of Technology, Taiyuan City, China ' College of Computer Science & Technology, Taiyuan University of Science and Technology, Taiyuan City, China

Abstract: The development of network technology and the popularisation of image acquisition devices have resulted in the rapid growth of digital images. It has become an urgent problem to rely on advanced technology to obtain and analyse emotional semantic information of images. The closed behavioural experiment environment restricts acquisition of image emotional semantic. The behavioural experiment platform is produced based on open environment. College students are selected as testers to obtain image emotional semantic data, and the obtained data are analysed using principal component algorithm. The experimental results show that data are very effective under the open behaviour experimental environment and can express two-third emotional semantic information of the image through analysis. It can lay a good foundation for realising image affective classification and retrieval, and has practical value.

Keywords: open environment; behavioural experiment; emotional semantic data; principal component algorithm; PCA; digital images; affective computing; psychological emotional computing; emotional semantics; subjective emotions; image acquisition; image retrieval.

DOI: 10.1504/IJWMC.2014.065608

International Journal of Wireless and Mobile Computing, 2014 Vol.7 No.6, pp.608 - 615

Available online: 30 Oct 2014 *

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