Adaptive low power decoding process with temporal prediction method for common video

Wenxin Yu*, Ning Jiang, Xin Jin, Satoshi Goto

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper introduces an adaptive low power decoding process with temporal prediction method for common video. This method can be used to reduce the decoding time and reduce the decoding power consumption by skipping the decoding process of some frames and reducing the frame rate. With the temporal prediction, it is different from the certain frame skipping scheme in the temporal scalable decoding process with frame rate down conversion method (TSDP) [2]. This method considers the video quality loss when the current frame is skipped and chooses the skipping scheme which causes minimum cost, so this method can be also used in the common video cases. And compares with the temporal scalable decoding process with frame rate down conversion method, the video quality (PSNR) is improved about 0.01 - 2.4 dB in the experimental common video cases by using the temporal prediction method. And can reduce the decoding time based on the number of the skipped frames, and it can get about 65% - 86% reduction which compares with the frame rate reduction in the experimental cases.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
Pages163-166
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011 - Penang
Duration: 2011 Mar 42011 Mar 6

Other

Other2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
CityPenang
Period11/3/411/3/6

Keywords

  • common video
  • decoding process
  • frame rate down
  • low power
  • temporal prediction

ASJC Scopus subject areas

  • Signal Processing

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