Multiresolution statistical and vector quantization based video codec

P. Zadeh Bagheri, Tom Buggy, A. Akbari

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

Abstract

This paper presents a novel hybrid multiresolution statistical and vector quantization based video coding scheme. In the intra mode of operation, a wavelet transform is used to decorrelate the input frame into a number of subbands. The high frequency subbands are coded using a novel statistically based coding algorithm. In the inter mode of operation, overlapped block motion estimation / compensation is employed to exploit inter frame redundancy. A wavelet transform is then applied to the displaced frame difference to decorrelate it into a number of subbands. The coefficients in the resulting subbands are coded using an adaptive vector quantization scheme.

Original languageEnglish
Title of host publicationProceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA '08)
PublisherACM
Pages287-292
Number of pages6
ISBN (Print)9780889867185
Publication statusPublished - 2008

Keywords

  • pattern recognition
  • video coding
  • video codec
  • signal processing

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    Bagheri, P. Z., Buggy, T., & Akbari, A. (2008). Multiresolution statistical and vector quantization based video codec. In Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA '08) (pp. 287-292). ACM. http://dl.acm.org/citation.cfm?id=1722683.1722743