Assessment of quality of experience (QoE) of image compression in social cloud computing

Article type: Research Article

Authors: Laghari, Asif Ali^{a; *} | He, Hui^{a; *} | Shafiq, Muhammad^a | Khan, Asiya^b

Affiliations: [a] School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China | [b] School of Engineering, University of Plymouth, Plymouth, UK

Correspondence: [*] Corresponding authors: Asif Ali Laghari, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China. E-mail: [email protected],SchoolofComputerScienceandTechnology,HarbinInstituteofTechnology,Harbin,Heilongjiang,China.E-mail:[email protected].

Abstract: Image posting and sharing on the social media clouds is a common activity of end users. During the uploading of an image, social media cloud automatically compresses the original image to reduce resolution and file size to save storage and provides service to speed up content loading in the web page. Image quality degradation on social media clouds decreases the user satisfaction level. Quality of Experience (QoE) experiment was conducted for assessing the end user’s satisfaction for image compression. During the experiment, four popular social media clouds were selected for 4 sample image hosting and images were captured with Canon DSLR and Samsung mobile cameras. The results show that Facebook and Twitter compress image less as compared to WeChat and Tumblr and user QoE ratings show that Facebook and Twitter compression level for the image is acceptable. Further, we found that decrease of luminance and chrominance has less impact on image quality compared to resolution scaling which has higher impact on quality.

Keywords: QoE, social media clouds, image quality, compression

DOI: 10.3233/MGS-180284

Journal: Multiagent and Grid Systems, vol. 14, no. 2, pp. 125-143, 2018