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2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS) (2014)
Taiyuan, China
June 4, 2014 to June 6, 2014
ISBN: 978-1-4799-4860-4
pp: 309-314
Chenwei Song , School of Computer Engineering and Science, Shanghai University, Shangda Road, 200436, China
Wenfeng Shen , School of Computer Engineering and Science, Shanghai University, Shangda Road, 200436, China
Lianqiang Sun , School of Computer Engineering and Science, Shanghai University, Shangda Road, 200436, China
Zhou Lei , School of Computer Engineering and Science, Shanghai University, Shangda Road, 200436, China
Weimin Xu , School of Computer Engineering and Science, Shanghai University, Shangda Road, 200436, China
ABSTRACT
Video transcoding is an important job in video processing and network service. With the improvement of devices and the Internet, the size of the video increases rapidly so that it takes a lot of resources to transcode. Low efficiency, high cost of upgrading hardware and low capacity of processing failure are problems of the traditional method of serial transcoding. Distributed transcoding can resolve these problems. To reduce the time of serial processing and be able to deal with the fault, this paper means to model a distributed video transcoding system which is based on MapReduce, an open source distribute computing model, and FFmpeg.
INDEX TERMS
Transcoding, Indium phosphide, Merging
CITATION
Chenwei Song, Wenfeng Shen, Lianqiang Sun, Zhou Lei, Weimin Xu, "Distributed video transcoding based on MapReduce", 2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS), vol. 00, no. , pp. 309-314, 2014, doi:10.1109/ICIS.2014.6912152
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