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Performance Evaluation and Recent Advances of Fast Block-Matching Motion Estimation Methods for Video Coding

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Book cover Computer Analysis of Images and Patterns (CAIP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4673))

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Abstract

This paper presents a performance evaluation of a set of fast block matching motion estimation methods of recent development. These methods are Kite-Cross-Diamond search (KCDS), Cross-Diamond-Hexagonal search (CDHS), Efficient-Hexagonal-Inner search (EHIS) and a newly proposed in this paper, called Cross-Half-Diamond low resolution search (CHDS), which is an improvement of Cross-Diamond-Hexagonal search. Also, Diamond search (DS) and Full search (FS) algorithms are implemented. These methods are evaluated based on the mean square error and the number of search points. Based on experimental results, it is concluded that DS, CDHS, CHDS and EHIS are appropriate for small and large motion contents, except EHIS for high frequencies and complex motion contents. The KCDS method has the lowest performance compared with other algorithms.

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Authors and Affiliations

  1. Centro de Investigacion y Desarrollo de Tecnologia Digital, Av. del Parque 1310, 22510 Tijuana B.C., Mexico

    Berenice Ramirez

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  1. Berenice Ramirez
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Walter G. Kropatsch Martin Kampel Allan Hanbury

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© 2007 Springer-Verlag Berlin Heidelberg

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Ramirez, B. (2007). Performance Evaluation and Recent Advances of Fast Block-Matching Motion Estimation Methods for Video Coding. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_99

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  • DOI: https://doi.org/10.1007/978-3-540-74272-2_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74271-5

  • Online ISBN: 978-3-540-74272-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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