ORCID
- Khan, Asiya: 0000-0003-3620-3048
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.
DOI
10.3233/MGS-180284
Publication Date
2018-06-26
Publication Title
Multiagent and Grid Systems
Volume
14
Issue
2
ISSN
1574-1702
Embargo Period
2018-12-05
Organisational Unit
School of Engineering, Computing and Mathematics
First Page
125
Last Page
143
Recommended Citation
Asif, A. L., He, H., Khan, A., & Shafiq, M. (2018) 'Assessment of Quality of Experience (QoE) of Image Compression in Social Cloud Computing', Multiagent and Grid Systems, 14(2), pp. 125-143. Available at: https://doi.org/10.3233/MGS-180284