Distributed video coding using compressive sampling

Prades Nebot Josep, Yi Ma, Thomas S Huang

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

Abstract

In this paper, we propose a new Distributed Video Coding (DVC) algorithm based on Compressive Sampling principles. Our encoding algorithm transmits a set of measurements of every frame block. Using these measurements, the decoder finds an approximation of each block as a linear combination of a small number of blocks in previously transmitted frames. Thanks to the simplicity of the encoding, our algorithm can be useful in those video applications that require very low complex encoders. However, our algorithm is less efficient than another state-of-the-art DVC technique.

Original languageEnglish (US)
Title of host publication2009 Picture Coding Symposium, PCS 2009
DOIs
StatePublished - Nov 23 2009
Event2009 Picture Coding Symposium, PCS 2009 - Chicago, IL, United States
Duration: May 6 2009May 8 2009

Publication series

Name2009 Picture Coding Symposium, PCS 2009

Other

Other2009 Picture Coding Symposium, PCS 2009
CountryUnited States
CityChicago, IL
Period5/6/095/8/09

Keywords

  • Compressive sampling
  • Distributed video coding
  • Sparse representations
  • Wyner-Ziv video coding

ASJC Scopus subject areas

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

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