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Motion Estimation Algorithm in Video Coding

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4692))

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Abstract

This paper is a review of the block matching algorithms used for the motion estimation in video compression to remove the temporal redundancy (i.e. interprediction). It implements and compares three different types of block matching algorithms that range from the very basic Exhaustive Search to the fast adaptive algorithms like Adaptive Rood Pattern Search. It can be used with common video coding standards such as H.263 and H.264.

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References

  1. Richardson, I.E.G.: H.264 and MPEG-4 VIDEO COMPRESSION, Video Coding for Next Generation Multimedia. Ch.3,5, & 6. John Wiley & Sons Ltd, West Sussex, England (2003)

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  2. Block Matching Algorithms For Motion Estimation Aroh Barjatya, Student Member, IEEE, DIP 6620 Spring 2004 Paper (2004)

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  3. Nie, Y., Ma, K.-K.: Adaptive Rood Pattern Search for Fast Block-Matching Motion Estimation. IEEE Trans. Image Processing 11(12), 1442–1448 (2002)

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  4. Zhu, S., Ma, K.-K.: A New Diamond Search Algorithm for Fast Block-Matching Motion Estimation. IEEE Trans. Image Processing 9(2), 287–290 (2000)

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  5. Wang, H., Mersereau, R.: Fast Algorithms for the Estimation of Motion Vectors. IEEE Transactions on Image Processing 8(3), 435–438 (1999)

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Author information

Authors and Affiliations

  1. ECE Dept, G.H.Raisoni College of Engineering, Nagpur, India

    Vibha Bafna

  2. ECE Dept, Yaswantrao College of Engineering, Nagpur, India

    M. M. Mushrif

Authors
  1. Vibha Bafna
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  2. M. M. Mushrif
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Editor information

Bruno Apolloni Robert J. Howlett Lakhmi Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Bafna, V., Mushrif, M.M. (2007). Motion Estimation Algorithm in Video Coding. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_60

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  • DOI: https://doi.org/10.1007/978-3-540-74819-9_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74817-5

  • Online ISBN: 978-3-540-74819-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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