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A Fast Lossless Multi-resolution Motion Estimation Algorithm Using Selective Matching Units

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3480))

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Abstract

We propose a new and fast multi-resolution motion estimation (MRME) algorithm using optimal matching units and scans for video coding, to significantly reduce the amount of computation in motion estimation. Our proposed algorithm has no any degradation of prediction quality compared to the original MRME algorithm. The computational reduction of our algorithm comes from fast elimination of unlikely candidate vectors. We fast eliminate inappropriate motion vectors using gradient magnitude in image data. The experimental results show that our algorithm reduces the computational amount of just 98~95% compared to full search algorithm and 55~80% compared to the original MRME algorithm. Our algorithm will be useful to real-time video coding applications such as MPEG-2 and MPEG-4 AVC.

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Author information

Authors and Affiliations

  1. Dept. of Computer Engineering, PKNU (Pukyung National University),  

    Jong-Nam Kim

Authors
  1. Jong-Nam Kim
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W, T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, P.O. Box, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, P.O. Box, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, JN. (2005). A Fast Lossless Multi-resolution Motion Estimation Algorithm Using Selective Matching Units. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_8

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  • DOI: https://doi.org/10.1007/11424758_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25860-5

  • Online ISBN: 978-3-540-32043-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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