Variable size finite-state motion vector quantization

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


In this paper, we present an algorithm which combines Vector Quantization (VQ) techniques with variable size Block Matching Algorithms (BMA) for motion compensated image sequence coding. First, an algorithm which decomposes the image frame into blocks of different sizes with similar motion parameters is proposed. Since the algorithm is based on splitting the block that would result in the highest decrease in distortion, it does not require a merging step. Next, VQ techniques are utilized to expedite the search for the block motion vector without significant sacrifice in temporal entropy reduction performance. We compare the performance and the computational requirements of the proposed algorithm with other BMAs.

Original languageEnglish (US)
Pages (from-to)2017-2020
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: May 7 1996May 10 1996

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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