Refinement of near random access video coding with weighted finite automata

  • Authors:
  • German Tischler

  • Affiliations:
  • Lehrstuhl für Informatik II, Universität Würzburg, Würzburg, Germany

  • Venue:
  • CIAA'06 Proceedings of the 11th international conference on Implementation and Application of Automata
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Random access video compression is mostly implemented without any reduction of temporal redundancy. Standard video compression systems like MPEG (1,2 and 4) are heavily based on motion compensation, which to some extent makes random access at single frame level impossible. We present a method for near random access video compression of low-motion video that is based on the discrete cosine transform and vector quantization and refine this system using weighted finite automata while keeping the random access property and using some reduction of temporal redundancy.