Content Aware Segment Length Optimization for Adaptive Streaming over HTTP
Content Aware Segment Length Optimization for Adaptive Streaming over HTTP
复制标题
HTTP 自适应流媒体的内容感知段长度优化
DOI：
10.13164/re.2018.0819
复制
发表时间：
2018
期刊：
影响因子：
1.1
通讯作者：
M. Slanina
中科院分区：
文献类型：
--
作者：
Ondrej Zach;M. Slanina
http自适应流是一种广泛使用的将视频内容传送到最终接收者的方法。流媒体视频内容的视觉质量正在根据网络条件自适应变化，为用户提供流畅的播放，这对于LTE这样的移动连接更为重要。本文主要研究了视频内容的编码和视频的分割，以便在基于DASH的服务中使用。我们使用长达2.5小时的长序列来模拟现实生活中的情况。我们研究了GOP长度对最终DASH段大小的影响，并评估了AVC和HEVC在DASH中使用时的性能。我们使用了几个固定的GOP长度值和一个基于场景变化的GOP创建的特殊情况。我们的研究结果表明，这种自适应分割模式可以节省11%的比特率，同时保持了相当的质量，并且DASH分段的绝对尺寸波动较小。
HTTPadaptive streaming is awidely usedmethod for delivering the video content to its final recipients. The visual quality of the streamed video content is being adaptively changed according to network conditions to offer the user a smooth playback, which is even more important for mobile connection like LTE. In this paper, we focus on the encoding of the video content and on the segmentation of the video to be used in DASH based service. We used long sequences with duration up to 2.5 hours to simulate a real life situation. We investigate the influence of the GOP length on the final DASH segment size and evaluate the performance of AVC and HEVC when used in DASH. We used several fixed values of GOP length and one special case of scene change basedGOP creation. Our results showed, that such an adaptive segmentation mode brings up to 11% bitrate savings with preserving comparable quality and lower fluctuations in absolute size of the DASH segments.