基于Hadoop的分布式视频转码方案  

Distributed Video Transcoding Scheme Based on Hadoop

作　　者：黄洁琛 倪明[1] 

机构地区：[1]中国电子科技集团公司第三十二研究所,上海200233

出　　处：《计算机工程》2015年第8期218-222,226,共6页Computer Engineering

摘　　要：视频转码是视频点播网站重要的技术环节之一。为解决单个节点视频转码开销大、耗时长的问题,在研究不同视频转码方案的基础上,提出一种分布式视频转码方案。将整个转码过程分为视频分割、视频转码、视频合并3个阶段。视频分割和视频合并阶段由单个节点完成,而视频转码阶段使用Hadoop架构的MapReduce计算框架,通过FFmpeg视频处理软件在多个节点上并行执行。通过实验验证可知,相比于单节点的视频转码,使用该视频转码方案在8个节点上同时进行转码时可以节约65%左右的转码时间。Video transcoding is one of the important technologies of Video On-demand（VOD）website.In order to solve the problem of large overhead and time consuming when videos are transcoded by single node,based on study of different type of video transcoding solutions,a distributed video transcoding solution is proposed.The whole video transcoding process can be devided into three parts,video spliting,video transcoding and video merging.Video spliting process and video merging process can be accomplished by single node,while videos,which are splited in video spliting process,are transcoded by MapReduce program of Hadoop,using FFmpeg,a video processing tool,running on several nodes at the same time.Experimental results show that,compared with single node,the proposed distributed video transcoding solution implemented on 8 nodes can save about 65% of the transcoding time.Experimental results also show the video transcoding time changes with the size of video segmentation.

关 键 词：视频转码 分布式 Hadoop架构 FFmpeg软件 转码时间 分段大小 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]