Adaptive solution of temporal scalable decoding process with frame rate conversion method for surveillance video

Wenxin Yu, Xin Jin, Satoshi Goto

研究成果: Conference contribution

抄録

This paper proposes an adaptive solution of temporal scalable decoding process with frame rate conversion method for surveillance video. It realizes the adaptive skipping scheme in the temporal scalable decoding process [2] based on the content of the pictures. By analyzing the relationship between motion vector energy and the video quality loss of the same frame in probability, chooses the suitable form of the motion vector value to qualify the video quality loss which is caused by the skipping process in a frame. And uses a selecting algorithm based on the energy accumulation principle to realize the adaptive frame skipping. By using this frame rate-down conversion algorithm, the PSNR is improved about 0.2-1.4 dB (compared with the certain frame skipping scheme [2]) in different skipping cases. And the loss of the decoding time reduction is less than 5% in the worst case, but in the most of the cases it is only 0 ∼ 2%.

本文言語English
ホスト出版物のタイトルISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
DOI
出版ステータスPublished - 2010
イベント18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010 - Chengdu
継続期間: 2010 12 62010 12 8

Other

Other18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010
CityChengdu
Period10/12/610/12/8

ASJC Scopus subject areas

  • 人工知能
  • 信号処理
  • 通信

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