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Guest Editorial Introduction to Special Section on Learning-Based Image and Video Compression
IEEE Transactions on Circuits and Systems for Video Technology ( IF 8.3 ) Pub Date : 2020-07-01 , DOI: 10.1109/tcsvt.2020.2995955
Shan Liu , Wen-Hsiao Peng , Lu Yu

Video is being watched more than ever before. It is estimated that in 2020, 82% of global IP traffic and 79% of global Internet traffic will come from video; globally 3 trillion minutes (5 million years) of video content will cross the Internet each month. According to the Cisco 2020 Forecast, that is one million minutes of video streamed or downloaded every second [1] . The rapidly increasing consumption of storage capacity and transmission bandwidth from video, especially HD and UHD video content, has made video compression a critical stage to guarantee the quality of delivery and playback.

中文翻译:

基于学习的图像和视频压缩专区的客座编辑介绍

视频的观看次数比以往任何时候都多。预计到2020年,全球82%的IP流量和79%的全球互联网流量将来自视频;全球每月将有 3 万亿分钟(500 万年)的视频内容通过互联网。根据思科 2020 年预测,每秒有 100 万分钟的视频流传输或下载 [1]。视频尤其是高清和超高清视频内容对存储容量和传输带宽的消耗迅速增加,使得视频压缩成为保证交付和播放质量的关键阶段。
更新日期:2020-07-01
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