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A Fast Partial Distortion Elimination Algorithm Using Selective Matching Scan

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Computer and Information Sciences – ISCIS 2006 (ISCIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4263))

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Abstract

Full search (FS) motion estimation has have been a big problem in real-time video coding because of enormous amount for calculation. Especially, the recent MPEG-4 AVC (advanced video coding) standard requires much more computations in motion estimation than the conventional MPEG-2 coding standard. In this paper, we propose a fast FS algorithm which can reduce only unnecessary computations significantly. Our algorithm is based on selective matching scan and elimination of unlike candidate blocks from initial matching error. According to the obtained matching order, we proceed to calculate matching errors and remove unlike candidate vectors based on PDE (Partial Distortion Elimination) method. Our algorithm takes about 4~10% of computations for block matching error compared with conventional FS algorithm without any degradation in prediction quality, thus our algorithm will be useful to real-time video coding applications using MPEG-4 AVC or MPEG-2 video coding standards.

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, JN., Ryu, TK., Jeong, Y. (2006). A Fast Partial Distortion Elimination Algorithm Using Selective Matching Scan. In: Levi, A., Savaş, E., Yenigün, H., Balcısoy, S., Saygın, Y. (eds) Computer and Information Sciences – ISCIS 2006. ISCIS 2006. Lecture Notes in Computer Science, vol 4263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11902140_15

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  • DOI: https://doi.org/10.1007/11902140_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47242-1

  • Online ISBN: 978-3-540-47243-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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