Next Article in Journal
Simultaneous Detection of Multiple Fish Pathogens Using a Naked-Eye Readable DNA Microarray
Next Article in Special Issue
An Advanced Compiler Designed for a VLIW DSP for Sensors-Based Systems
Previous Article in Journal / Special Issue
Using SRAM Based FPGAs for Power-Aware High Performance Wireless Sensor Networks
Sensors 2012, 12(3), 2693-2709; doi:10.3390/s120302693

Distributed Coding/Decoding Complexity in Video Sensor Networks

1,2,*  and 1,2
Received: 31 December 2011; in revised form: 22 February 2012 / Accepted: 22 February 2012 / Published: 29 February 2012
(This article belongs to the Special Issue Microprocessors and System-on-Chip)
View Full-Text   |   Download PDF [1090 KB, uploaded 21 June 2014]   |   Browse Figures
Abstract: Video Sensor Networks (VSNs) are recent communication infrastructures used to capture and transmit dense visual information from an application context. In such large scale environments which include video coding, transmission and display/storage, there are several open problems to overcome in practical implementations. This paper addresses the most relevant challenges posed by VSNs, namely stringent bandwidth usage and processing time/power constraints. In particular, the paper proposes a novel VSN architecture where large sets of visual sensors with embedded processors are used for compression and transmission of coded streams to gateways, which in turn transrate the incoming streams and adapt them to the variable complexity requirements of both the sensor encoders and end-user decoder terminals. Such gateways provide real-time transcoding functionalities for bandwidth adaptation and coding/decoding complexity distribution by transferring the most complex video encoding/decoding tasks to the transcoding gateway at the expense of a limited increase in bit rate. Then, a method to reduce the decoding complexity, suitable for system-on-chip implementation, is proposed to operate at the transcoding gateway whenever decoders with constrained resources are targeted. The results show that the proposed method achieves good performance and its inclusion into the VSN infrastructure provides an additional level of complexity control functionality.
Keywords: video sensors; real-time transcoding; complexity control video sensors; real-time transcoding; complexity control
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |

MDPI and ACS Style

Cordeiro, P.J.; Assunção, P. Distributed Coding/Decoding Complexity in Video Sensor Networks. Sensors 2012, 12, 2693-2709.

AMA Style

Cordeiro PJ, Assunção P. Distributed Coding/Decoding Complexity in Video Sensor Networks. Sensors. 2012; 12(3):2693-2709.

Chicago/Turabian Style

Cordeiro, Paulo J.; Assunção, Pedro. 2012. "Distributed Coding/Decoding Complexity in Video Sensor Networks." Sensors 12, no. 3: 2693-2709.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert