Research Article

A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing

Volume: 21 Number: 62 May 21, 2019
EN TR

A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing

Abstract

Providing fast video encoding, Compressive Sensing has been very suitable for the schemes which require power-constraint devices such as in wireless sensor networks. However, resulted data load on the network is extremely high and accomplishing rate control on these compressive sensing codecs by a simple scheme is crucial. In this paper we propose a simple scheme of data rate control mechanism for an existing compressive sensing codec for distributed video coding which has been reported as an efficient framework in terms of video reconstruction quality. Our approach does not use a feedback channel from decoder which avoids encoder to wait for high-complexity optimization problem. Embedding the proposed scheme to the codec architecture, we have obtained ~43% gain in data rate with an acceptable decrease (6%) in Video PSNR.

Keywords

References

  1. Richardson I.E. 2011. The H. 264 advanced video compression standard, John Wiley & Sons.
  2. Akyildiz, I.F., Melodia, T., Chowdhury, K.R. 2007. A survey on wireless multimedia sensor networks, Computer networks Vol. 51, no. 4, 921–960.
  3. Girod, B., Aaron, A.M., Rane, S. et al. 2005. Distributed video coding, Proceedings of the IEEE, vol 93, no. 1, 71–83.
  4. Slepian D. and Wolf J. 1973. Noiseless coding of correlated information sources, IEEE Transactions on information Theory vol.19, no.4, 471–480.
  5. Wyner, A. 1974. Recent results in the shannon theory, IEEE Transactions on information Theory, vol. 20, no. 1, 2–10.
  6. Donoho D.L. 2006. Compressed sensing, IEEE Transactions on information theory, vol. 52, no. 4, 1289–1306.
  7. Candes, E.J., Romberg, J. K. and Tao T. 2006. Stable signal recovery from incomplete and inaccurate measurements, Communications on pure and applied mathematics vol.59, no.8, 1207–1223.
  8. Candes E.J. et al. 2006. Compressive sampling, International congress of mathematicians, vol.3, 1433–1452, Madrid, Spain.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

May 21, 2019

Submission Date

March 5, 2018

Acceptance Date

October 15, 2018

Published in Issue

Year 2019 Volume: 21 Number: 62

APA
Aslan, S., & Tunalı, E. T. (2019). A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, 21(62), 685-696. https://doi.org/10.21205/deufmd.2019216230
AMA
1.Aslan S, Tunalı ET. A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing. DEUFMD. 2019;21(62):685-696. doi:10.21205/deufmd.2019216230
Chicago
Aslan, Sinem, and E. Turhan Tunalı. 2019. “A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi 21 (62): 685-96. https://doi.org/10.21205/deufmd.2019216230.
EndNote
Aslan S, Tunalı ET (May 1, 2019) A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 21 62 685–696.
IEEE
[1]S. Aslan and E. T. Tunalı, “A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing”, DEUFMD, vol. 21, no. 62, pp. 685–696, May 2019, doi: 10.21205/deufmd.2019216230.
ISNAD
Aslan, Sinem - Tunalı, E. Turhan. “A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 21/62 (May 1, 2019): 685-696. https://doi.org/10.21205/deufmd.2019216230.
JAMA
1.Aslan S, Tunalı ET. A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing. DEUFMD. 2019;21:685–696.
MLA
Aslan, Sinem, and E. Turhan Tunalı. “A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, vol. 21, no. 62, May 2019, pp. 685-96, doi:10.21205/deufmd.2019216230.
Vancouver
1.Sinem Aslan, E. Turhan Tunalı. A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing. DEUFMD. 2019 May 1;21(62):685-96. doi:10.21205/deufmd.2019216230

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