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The evaluation video quality in social clouds
Entertainment Computing ( IF 2.8 ) Pub Date : 2020-05-11 , DOI: 10.1016/j.entcom.2020.100370
Sajida Karim , Hui He , Asif Ali Laghari , Kamran Ali Memon , Mehak Khan , Arif Hussain Magsi

Social clouds are nowadays very popular among users around the world, and users post videos and images on their wall to share with family and friends. Social cloud automatically compressed the videos during the upload process for fast load in webpages and save storage, which decreases the Quality of Experience (QoE) of the end-user. Previously subjective QoE of social cloud videos was conducted to measure the user satisfaction level of social cloud's compression, but objective QoE is never considered in research. Subjective QoE based on user perception, but the user did not know how much noise is added or blurred videos during compress and unable to provide accurate ratings. In this regards, technical details such as noise level, blurring, blocking and data frame metric (DFM) are required to know the comparison of original videos and compressed videos of social clouds. This paper is based on objective QoE of assessment of video quality of original and compressed videos of social clouds, such as Facebook, Qzone, and Tumblr. The results show Facebook adds more noise, blurring, blocking and DFM effects as compared to Qzone and Tumblr social clouds.



中文翻译:

社交云中的评估视频质量

如今,社交云在世界各地的用户中非常流行,用户在其墙上张贴视频和图像以与家人和朋友分享。社交云会在上传过程中自动压缩视频,以快速加载网页并节省存储空间,从而降低了最终用户的体验质量(QoE)。以前曾进行过社交云视频的主观QoE来衡量社交云压缩的用户满意度,但研究中从未考虑到客观QoE。基于用户感知的主观QoE,但用户不知道在压缩过程中添加了多少噪声或视频模糊,无法提供准确的评分。在这方面,技术细节,例如噪音水平,模糊,要了解原始视频和社交云的压缩视频的比较,需要使用数据块和数据帧指标(DFM)。本文基于客观的QoE,即评估社交云(例如Facebook,Qzone和Tumblr)原始视频和压缩视频的视频质量。结果表明,与Qzone和Tumblr社交云相比,Facebook增加了更多的噪音,模糊,阻塞和DFM效果。

更新日期:2020-05-11
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