Adaptive temporal scalable decoding scheme with temporal and spatial prediction method

Wenxin Yu, Xin Jin, Satoshi Goto

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

Abstract

This paper introduces an adaptive temporal scalable decoding scheme with temporal and spatial prediction method. 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 spatial prediction and 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 chooses the skipping scheme which causes minimum cost by considering the video quality loss when the current frame is skipped and the movements of the current frame, so this method can be also used in the common video cases well. It is compared with the process which only used the temporal prediction method [3], the video quality (PSNR) is improved about 0.94.6 dB in the experimental common video cases by using the combined method. It can reduce the decoding time based on the number of the skipped frames, and can also get about 65%-86% reduction which compares with the frame rate reduction in the experimental cases.

Original languageEnglish
Title of host publication2011 International Symposium on Intelligent Signal Processing and Communications Systems: "The Decade of Intelligent and Green Signal Processing and Communications", ISPACS 2011
DOIs
Publication statusPublished - 2011
Event19th IEEE International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2011 - Chiang Mai
Duration: 2011 Dec 72011 Dec 9

Other

Other19th IEEE International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2011
CityChiang Mai
Period11/12/711/12/9

Fingerprint

Decoding
Electric power utilization
Costs

Keywords

  • Adaptive frame skipping
  • frame rate down conversion
  • spatial prediction
  • temporal scalable decoding

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Yu, W., Jin, X., & Goto, S. (2011). Adaptive temporal scalable decoding scheme with temporal and spatial prediction method. In 2011 International Symposium on Intelligent Signal Processing and Communications Systems: "The Decade of Intelligent and Green Signal Processing and Communications", ISPACS 2011 [6146179] https://doi.org/10.1109/ISPACS.2011.6146179

Adaptive temporal scalable decoding scheme with temporal and spatial prediction method. / Yu, Wenxin; Jin, Xin; Goto, Satoshi.

2011 International Symposium on Intelligent Signal Processing and Communications Systems: "The Decade of Intelligent and Green Signal Processing and Communications", ISPACS 2011. 2011. 6146179.

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

Yu, W, Jin, X & Goto, S 2011, Adaptive temporal scalable decoding scheme with temporal and spatial prediction method. in 2011 International Symposium on Intelligent Signal Processing and Communications Systems: "The Decade of Intelligent and Green Signal Processing and Communications", ISPACS 2011., 6146179, 19th IEEE International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2011, Chiang Mai, 11/12/7. https://doi.org/10.1109/ISPACS.2011.6146179
Yu W, Jin X, Goto S. Adaptive temporal scalable decoding scheme with temporal and spatial prediction method. In 2011 International Symposium on Intelligent Signal Processing and Communications Systems: "The Decade of Intelligent and Green Signal Processing and Communications", ISPACS 2011. 2011. 6146179 https://doi.org/10.1109/ISPACS.2011.6146179
Yu, Wenxin ; Jin, Xin ; Goto, Satoshi. / Adaptive temporal scalable decoding scheme with temporal and spatial prediction method. 2011 International Symposium on Intelligent Signal Processing and Communications Systems: "The Decade of Intelligent and Green Signal Processing and Communications", ISPACS 2011. 2011.
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