Distributed Compressed Video Sensing in Camera Sensor Networks
Joint Authors
Cho, Sung Ho
Zhang, Lin
Liu, Yu
Zhu, Xuqi
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
With the booming of video devices ranging from low-power visual sensors to mobile phones, the video sequences captured by these simple devices must be compressed easily and reconstructed by relatively more powerful servers.
In such scenarios, distributed compressed video sensing (DCVS), combining distributed video coding (DVC) and compressed sensing (CS), is developed as a novel and powerful signal-sensing and compression algorithm for video signals.
In DCVS, video frames can be compressed to a few measurements in a separate manner, while the interframe correlation is explored by the joint recovery algorithm.
In this paper, a new DCVS joint recovery scheme using side-information-based belief propagation (SI-BP) is proposed to exploit both the intraframe and interframe correlations, which is particularly efficient over error-prone channels.
The DCVS scheme using SI-BP is designed over two frame signal models, the mixture Gaussian (MG) model and the wavelet hidden Markov tree (WHMT) model.
Simulation results evaluated on two video sequences illustrate that the SI-BP-based DCVS scheme is error resilient when the measurements are transmitted through the noisy wireless channels.
American Psychological Association (APA)
Liu, Yu& Zhu, Xuqi& Zhang, Lin& Cho, Sung Ho. 2012. Distributed Compressed Video Sensing in Camera Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-465108
Modern Language Association (MLA)
Liu, Yu…[et al.]. Distributed Compressed Video Sensing in Camera Sensor Networks. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-465108
American Medical Association (AMA)
Liu, Yu& Zhu, Xuqi& Zhang, Lin& Cho, Sung Ho. Distributed Compressed Video Sensing in Camera Sensor Networks. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-465108
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465108