Distributed video coding in wireless multimedia sensor network for multimedia broadcasting.
Zhuo, Xue and Loo, Jonathan and Cosmas, John and Yip, Amanda (2008) Distributed video coding in wireless multimedia sensor network for multimedia broadcasting. WSEAS transactions on communications, 7 (5). pp. 418-427. ISSN 1109-2742
- Published Version
Recently the development of Distributed Video Coding (DVC) has provided the promising theory support to realize the infrastructure of Wireless Multimedia Sensor Network (WMSN), which composed of autonomous hardware for capturing and transmission of quality audio-visual content. The implementation of DVC in WMSN can better solve the problem of energy constraint of the sensor nodes due to the benefit of lower computational encoder in DVC. In this paper, a practical DVC scheme, pixel-domain Wyner-Ziv(PDWZ) video coding, with slice structure and adaptive rate selection(ARS) is proposed to solve the certain problems when applying DVC into WMSN. Firstly, the proposed slice structure in PDWZ has extended the feasibility of PDWZ to work with any interleaver size used in Slepian-wolf turbo codec for heterogeneous applications. Meanwhile, based on the slice structure, an adaptive code rate selection has been proposed aiming at reduce the system delay occurred in feedback request. The simulation results clearly showed the enhancement in R-D performance and perceptual quality. It also can be observed that system delay caused by frequent feedback is greatly reduced, which gives a promising support for WMSN with low latency and facilitates the QoS management.
|Research Areas:||School of Science and Technology > Computer and Communications Engineering|
School of Science and Technology > Science & Technology
|Permissions granted by publisher:||Published version as permitted by publisher.|
|Deposited On:||03 May 2011 13:52|
|Last Modified:||25 Jul 2014 21:26|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year