Assessment of Quality of Experience (QoE) of Image Compression in Social Cloud Computing

Ali L Asif, H He, AI Khan, M Shafiq

Research output: Contribution to journalArticlepeer-review

6 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)125-143
Number of pages0
JournalMultiagent and Grid Systems
Volume14
Issue number2
DOIs
Publication statusPublished - 26 Jun 2018

Fingerprint

Dive into the research topics of 'Assessment of Quality of Experience (QoE) of Image Compression in Social Cloud Computing'. Together they form a unique fingerprint.

Cite this