DocumentCode :
3543386
Title :
Bit Rate Reduction Video Transcoding with Distributed Computing
Author :
Jokhio, Fareed ; Deneke, Tewodros ; Lafond, Sébastien ; Lilius, Johan
Author_Institution :
Dept. of Inf. Technol., Abo Akademi Univ., Turku, Finland
fYear :
2012
fDate :
15-17 Feb. 2012
Firstpage :
206
Lastpage :
212
Abstract :
This paper presents an approach to perform bit rate reduction Transco ding by video segmentation. The paper shows how a high performance distributed video transcoder can be built using multiple processing units and a Message Passing Interface based parallel programming model. The computation parallelization and data distribution among computing units is discussed. For data distribution coarse grain approach is used in which significant gain in terms of execution speedup is obtained. The segmentation of video stream with (1) equal size having unequal number of intra frames and (2) unequal size having equal number of intra frames is performed to achieve high performance. The results show that the proposed distributed video transcoder provides very short startup times.
Keywords :
application program interfaces; image segmentation; message passing; parallel programming; transcoding; video coding; bit rate reduction video transcoding; computation parallelization; data distribution coarse grain approach; distributed computing; high performance distributed video transcoder; message passing interface based parallel programming model; multiple processing units; video stream segmentation; Bit rate; Decoding; Quantization; Streaming media; Transcoding; Video sequences; Distributed computing; Message Passing Interface (MPI); video Transcoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2012 20th Euromicro International Conference on
Conference_Location :
Garching
ISSN :
1066-6192
Print_ISBN :
978-1-4673-0226-5
Type :
conf
DOI :
10.1109/PDP.2012.59
Filename :
6169551
Link To Document :
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