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Efficient MPEG-2 to MPEG-4 compressed video transcoding

Authors: Rong Xie; Jilin Liu; Xingguo Wang;

Efficient MPEG-2 to MPEG-4 compressed video transcoding

Abstract

MPEG-2 and MPEG-4 are two most popular international video compression standards. They will coexist in different systems and networks for a long time. For compatibility of these two video standards, this paper put forward three transcoding algorithms on the basis of detailed analysis of computational complexity. In the paper, the principle and implementation of two efficient transcoding algorithms are emphasized. Both of them are tradeoff between the computational complexity and reconstructed video quality. One is motion-information reusing algorithm, which meets the highest video quality requirement of studio and post-processing environments. The other is real-time low complexity transcoding algorithm, which is proper for low delay requirement of the network server and user terminal with limited computational performance. The simulation results of many test sequences verified the high performance of the algorithms.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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