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  1. Circuits and Systems Magazine
  2. Year : 2005 Volume : 5
  3. Issue 3
  4. From rate-distortion analysis to resource-distortion analysis
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Year : 2016 Volume : 16
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Year : 2005 Volume : 5
Issue 4
Issue 3
IEEE Circuits and Systems Magazine
To us, IEEE is essential
Table of contents
President's message
Constitution changes
From rate-distortion analysis to resource-distortion analysis
Wireless sensor networks: applications and challenges of ubiquitous sensing
Advances in circuits and systems
Call for papers
IEEE in4mation
Issue 2
Issue 1
Year : 2004 Volume : 4
Year : 2003 Volume : 3
Year : 2002 Volume : 2
Year : 2001 Volume : 1

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From rate-distortion analysis to resource-distortion analysis

Content Provider IEEE Xplore Digital Library
Author Zhihai He Mitra, S.K.
Copyright Year 2001
Description The ultimate goal in communication system design is to control and optimize the system performance under resource constraints. As the communication paradigm evolves from the conventional desktop computing, wired, and centralized communication to current mobile, wireless, distributed, and massive communication, video encoding and transmission operate under more and more resource constraints. In traditional video communication applications, such as digital TV broadcast, the major constraint is in the form of transmission bandwidth or storage space, which determines the encoding bit rate. Rate-distortion (R-D) theories have been developed to model the relationship between the coding bit rate and signal distortion. For video communication over mobile devices, the video encoding and transmission operate under additional resource constraints, such as energy supply and on-board computation capability. Therefore, there is a need to extend the traditional R-D analysis to resource-distortion analysis by incorporating the new resource constraints into the R-D analysis framework. In distributed and massive wireless video sensor networks, the resource utilization behaviors of individual video sensors should be well-coordinated through network-level rate allocation and optimum routing so as to maximize the overall performance. In this paper, we start from the classical R-D theory developed by Shannon over 50 years ago, and then review the R-D modelling techniques for modern image and video compression systems. We study the resource-distortion analysis framework for video communication over wireless devices. As one step further, we present the research problem of resource allocation and performance optimization for video compression and communication over a network of wireless communication devices.
Starting Page 6
Ending Page 18
Page Count 13
File Size 1465691
File Format PDF
ISSN 1531636X
Volume Number 5
Issue Number 3
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2005-01-01
Publisher Place U.S.A.
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Rate-distortion Mobile communication Video compression Wireless sensor networks Resource management Mobile computing Bit rate Wireless communication Communication systems Communication system control
Content Type Text
Resource Type Article
Subject Electrical and Electronic Engineering Computer Science Applications
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