Ultra-High Resolution Video Distributed Transcoding System Using Memory-based High-speed Data Distribution Method

被引：1
|
作者：
Huh, Jingang [1 ]
Kim, Yong-Hwan [1 ]
Jeong, Jinwoo [1 ]
机构：
[1] Korea Elect Technol Inst, Intelligent Image Proc Res Ctr, Daejeon, South Korea
来源：
2019 34TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2019) | 2019年
关键词：
Distributed Transcoding System; Spark on Yarn; HEVC; AV1; Memory-based distribution;
D O I：
10.1109/itc-cscc.2019.8793379
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Delivering ultra-high resolution video in real-time over a public network is a challenging task. There are two possible solutions: 1) tiled encoding and streaming technology can effectively transmit the video with an extremely large bit rate; and 2) distributed transcoding can encode ultra-high resolution videos in real-time. Distributed transcoder-based real-time encoding of ultra-high resolution videos has latency due to input stream distribution and output stream integration. The existing disk-based distributed transcoding system has a limitation on the data transfer speed between the master and the slaves due to the read/write speed of the disk. In this paper, we propose a tiled distributed transcoding system using memory-based distribution method. The proposed system supports High-efficiency Video Coding (HEVC) or AOMedia Video 1 (AV1) transcoding on Spark on Yarn platform. Experimental results show a transcoding speed improvement of about 21% compared to the existing system.
引用
收藏
页码：292 / 295
页数：4
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