The evaluation video quality in social clouds
The evaluation video quality in social clouds
复制标题
社交云中视频质量评价
DOI：
10.1016/j.entcom.2020.100370
复制
发表时间：
2020-08
影响因子：
2.8
通讯作者：
Magsi Arif Hussain
中科院分区：
文献类型：
--
作者：
Karim Sajida;He Hui;Laghari Asif Ali;Memon Kamran Ali;Khan Mehak;Magsi Arif Hussain
如今，社交云在世界各地的用户中非常流行，用户在他们的墙上发布视频和图像，与家人和朋友分享。社交云在上传过程中自动压缩视频，快速加载到网页中，节省存储空间，降低了终端用户的体验质量（QoE）。以往的研究都是通过对社交云视频的主观质量质量来衡量用户对社交云压缩的满意程度，而客观质量质量在研究中从未被考虑。主观QoE基于用户感知，但用户不知道压缩过程中添加了多少噪音或模糊了视频，无法提供准确的评分。在这方面，需要噪声水平、模糊、阻塞和数据帧度量（DFM）等技术细节来了解社交云的原始视频和压缩视频的比较。本文基于对Facebook、qq空间、Tumblr等社交云平台的原创视频和压缩视频进行视频质量评价的客观QoE。结果显示，与qq空间和Tumblr社交云相比，Facebook添加了更多的噪点、模糊、阻塞和DFM效果。
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.
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DOI：
10.1155/2017/8313942
发表时间：
2017-12
期刊：
Wirel. Commun. Mob. Comput.
影响因子：
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作者：
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DOI：
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2010 13th International Conference on Computer and Information Technology (ICCIT)
影响因子：
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DOI：
10.1007/978-3-319-99127-6_37
发表时间：
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期刊：
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影响因子：
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DOI：
10.1016/j.image.2019.03.014
发表时间：
2019-07
期刊：
Signal Process. Image Commun.
影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
Channa, Muhammad Ibrahim