Power-rate-distortion model for low-complexity video coding

Li Wei Kang*, Chun Shien Lu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Wireless visual sensor networks are potentially applicable for several emerging applications. Since the resource-limited restriction for a visual sensor node (VSN), efficient resource allocation for video compression is challenging. In this paper, a power-rate-distortion (PRD) model-based low-complexity multiview video codec is proposed. Our PRD model is used to characterize the relationship between the available resources and the RD performance of our video codec. More specifically, an RD function in terms of the percentages for different coding modes of blocks and the target bit rate under the available resource constraints is derived for optimal coding mode decision. Analytic and simulation results are provided to verify the resource scalability and accuracy of our PRD model in facilitating our low-complexity multiview video codec to achieve good performance.

Original languageEnglish
Title of host publication2009 Picture Coding Symposium, PCS 2009
Publication statusPublished - 2009
Externally publishedYes
Event2009 Picture Coding Symposium, PCS 2009 - Chicago, IL, United States
Duration: 2009 May 62009 May 8

Publication series

Name2009 Picture Coding Symposium, PCS 2009


Conference2009 Picture Coding Symposium, PCS 2009
Country/TerritoryUnited States
CityChicago, IL


  • Low-complexity video coding
  • Power-ratedistortion optimization
  • Wireless visual sensor networks

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Software


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