Distributed Coding/Decoding Complexity in Video Sensor Networks

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 pract...

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Vydané v:Sensors (Basel, Switzerland) Ročník 12; číslo 3; s. 2693 - 2709
Hlavní autori: Cordeiro, Paulo J., Assunção, Pedro
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland MDPI AG 01.03.2012
Molecular Diversity Preservation International (MDPI)
Predmet:
Bandwidths
Cameras
Codes
Coding
Communication
Complexity
complexity control
Data compression
Decoders
Decoding
Energy consumption
Infrastructure
Networks
Process controls
real-time transcoding
Sensors
Streams
Surveillance
video sensors
Portugal
video sensors
complexity control
real-time transcoding
ISSN:1424-8220, 1424-8220
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Shrnutí: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s120302693