Distributed compressive video sensing

Li Wei Kang*, Chun Shien Lu

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

213 引文 斯高帕斯(Scopus)

摘要

Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the order of that for still image encoding. In addition, compressive sensing (CS) has been applicable to directly capture compressed image data efficiently. In this paper, by integrating the respective characteristics of DVC and CS, a distributed compressive video sensing (DCVS) framework is proposed to simultaneously capture and compress video data, where almost all computation burdens can be shifted to the decoder, resulting in a very low-complexity encoder. At the decoder, compressed video can be efficiently reconstructed using the modified GPSR (gradient projection for sparse reconstruction) algorithm. With the assistance of the proposed initialization and stopping criteria for GRSR, derived from statistical dependencies among successive video frames, our modified GPSR algorithm can terminate faster and reconstruct better video quality. The performance of our DCVS method is demonstrated via simulations to outperform three known CS reconstruction algorithms.

原文英語
主出版物標題2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
頁面1169-1172
頁數4
DOIs
出版狀態已發佈 - 2009
對外發佈
事件2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, 臺灣
持續時間: 2009 四月 192009 四月 24

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(列印)1520-6149

其他

其他2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
國家/地區臺灣
城市Taipei
期間2009/04/192009/04/24

ASJC Scopus subject areas

  • 軟體
  • 訊號處理
  • 電氣與電子工程

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