A framework for scheduling the encoding of multiple smart user videos

M. Koziri, Panos K. Papadopoulos, Nikos Tziritas, Antonios N. Dadaliaris, Thanasis Loukopoulos, G. Stamoulis
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引用次数: 4

Abstract

The ever increasing number of video uploads in social media platforms, together with the incorporation of live video broadcasts and a growing demand for higher video resolution, will likely pose the most significant performance challenge for social media providers in the years to come. The current state of the art in most social media platforms, involves videos in H.264/AVC format. However, recent advances in video encoding such as the HEVC standard offer better compression ratios compared to H.264/AVC at the expense of higher computational demands. As HEVC is gradually replacing the old standard, the possibility of reducing bandwidth consumption and server load by using the more efficient compression scheme can't be overlooked. In this paper we propose a framework to tackle the challenges of adopting HEVC as well as high resolution videos in social media platforms.
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一个用于调度多个智能用户视频编码的框架
社交媒体平台上视频上传的数量不断增加,加上视频直播的结合以及对更高视频分辨率的需求不断增长,可能会在未来几年对社交媒体提供商构成最重大的性能挑战。目前大多数社交媒体平台上的视频都采用H.264/AVC格式。然而,与H.264/AVC相比,HEVC标准等视频编码的最新进展提供了更好的压缩比,但代价是更高的计算需求。随着HEVC逐渐取代旧标准,使用更高效的压缩方案减少带宽消耗和服务器负载的可能性不容忽视。在本文中,我们提出了一个框架来解决在社交媒体平台上采用HEVC和高分辨率视频的挑战。
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