DISTRIBUTED VIDEO CODING BASED ON COMPRESSED SENSING

被引：11

作者：

Baig, Yousuf ^{[1
]}

Lai, Edmund M-K. ^{[1
]}

Punchihewa, Amal ^{[1
]}

机构：

[1] Massey Univ, Sch Engn & Adv Technol, Palmerston North, New Zealand

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW) | 2012年

关键词：

Compressed sensing; distributed compressed video sensing; distributed video coding; low-complexity video coding; side information; RECONSTRUCTION;

D O I：

10.1109/ICMEW.2012.62

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Compressed Sensing (CS) is a new approach to signal acquisition that can potentially allow us to design very simple video encoders that can be implemented on mobile devices with limited resources. However, previously proposed CS based video codec either require a conventional video codec or a feedback channel for effective operation, thus increasing the complexity. In this paper, a distributed Compressed Video Sensing codec is proposed that only makes use of CS at the encoder. A novel Side Information generation scheme is incorporated in the decoder which exploits the correlation between CS measurements of nearby frames. It is much simpler than other schemes found in the literature and yet effective. Simulation results demonstrate that effective video coding can be achieved using this codec.

引用

页码：325 / 330

页数：6

共 22 条

[1] Artigas X., 2007, P PICT COD S LISB PO
[2] ASCENSO J, 2010, P 18 EUR SIGN PROC C
[3] Baig Y., 2010, P 17 INT TEL C DOH Q
[4] Compressive sensing
Baraniuk, Richard G.
[J]. IEEE SIGNAL PROCESSING MAGAZINE, 2007, 24 (04) : 118 - +
[5] Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information
Candès, EJ
Romberg, J
Tao, T
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) : 489 - 509
[6] Chen H. W., 2010, P SPIE VIS COMM IM P
[7] Fast compressive sampling with structurally random matrices
Do, Thong T.
Tran, Trac D.
Gan, Lu
[J]. 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 3369 - +
[8] Do TT, 2009, 2009 43RD ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS, VOLS 1 AND 2, P1, DOI 10.1109/CISS.2009.5054678
[9] Compressed sensing
Donoho, DL
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (04) : 1289 - 1306
[10] Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
Figueiredo, Mario A. T.
Nowak, Robert D.
Wright, Stephen J.
[J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2007, 1 (04) : 586 - 597

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