Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi

Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi

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

Yazarlar: Sinem ASLAN, E. Turhan TUNALI

Cilt 21 , Sayı 62 , 2019 , Sayfalar 685 - 696

Konular:Mühendislik, Ortak Disiplinler

DOI:10.21205/deufmd.2019216230

Anahtar Kelimeler:Compressive sensing,Distributed video coding,Rate control,Adaptive sampling rate,Video quality

Özet: 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.


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BibTex
KOPYALA
@article{2019, title={A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing}, volume={21}, number={62}, publisher={Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi}, author={Sinem ASLAN,E. Turhan TUNALI}, year={2019}, pages={685–696} }
APA
KOPYALA
Sinem ASLAN,E. Turhan TUNALI. (2019). A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing (Vol. 21, pp. 685–696). Vol. 21, pp. 685–696. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi.
MLA
KOPYALA
Sinem ASLAN,E. Turhan TUNALI. A Simple and Adaptive Data Rate Control Scheme for Distributed Compressive Video Sensing. no. 62, Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 2019, pp. 685–96.