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Low Complexity Motion Estimation Based on Spatio-Temporal Correlations and Direction of Motion Vectors

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Computer Analysis of Images and Patterns (CAIP 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2756))

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Abstract

Motion Estimation (ME) has been developed to remove redundant data contained in a sequence of image. And ME is an important part of video encoding systems, since it can significantly affect the output quality of an encoded sequences. However, ME requires a significant part of the encoding time, when using the Full Search (FS). For this reason, low complexity motion estimation algorithms are viable solutions. In this paper, we present an efficient algorithm based on spatio-temporal correlations and the direction of motion vectors that define the search pattern and the location of search center adaptively. Experiments show that the speedup improvement of the proposed algorithm over Diamond Search algorithm (DS) and Motion Vector Field Adaptive Search Technique (MVFAST) can be up to 0.5 ~ 3 times faster and the image quality improvement can be better up to 0.1 ~ 1(dB).

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Author information

Authors and Affiliations

  1. Department of Computer Science, Chonnam National University, 300 Youngbong-dong, Buk-gu, Kwangju, 500-757, Korea

    Hyo Sun Yoon & Guee Sang Lee

Authors
  1. Hyo Sun Yoon
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  2. Guee Sang Lee
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computing Science, University of Groningen, P.O.Box 800, 9700 AV, Groningen, The Netherlands

    Nicolai Petkov

  2. Institute of Mathematics and Computing Science, University of Groningen, Blauwborgje 3, 9747 AC, Groningen, The Netherlands

    Michel A. Westenberg

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© 2003 Springer-Verlag Berlin Heidelberg

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Yoon, H.S., Lee, G.S. (2003). Low Complexity Motion Estimation Based on Spatio-Temporal Correlations and Direction of Motion Vectors. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_22

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  • DOI: https://doi.org/10.1007/978-3-540-45179-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40730-0

  • Online ISBN: 978-3-540-45179-2

  • eBook Packages: Springer Book Archive

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