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Fast Motion Estimation Using N-Queen Pixel Decimation

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Advances in Multimedia Information Processing — PCM 2001 (PCM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2195))

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Abstract

We present a technique to improve the speed of block motion estimation using only a subset of pixels from a block to evaluate the distortion with minimal loss of coding efficiency. To select such a subset we use a special sub-sampling structure, N-queen pattern. The N-queen pattern can characterize the spatial information in the vertical, horizontal and diagonal directions for both texture and edge features. In the 4-queen case, it has a special property that every skipped pixel has the minimal and equal distance of one to the selected pixel. Despite of the randomized pattern, our technique has compact data storage architecture. Our results show that the pixel decimation of N-queen patterns improves the speed by about N times with small loss in PSNR. The loss in PSNR is negligible for slow motion video sequence and has 0.45 dB loss in PSNR at worst for high motion video sequence.

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References

  1. Alexis M. Tourapis, Oscar C. Au, and Ming L. Liou, More experiment on block based motion estimation, ” ISO/IEC JTCI/SC29/WGI1 MPEG2000/M5867, Mar. 2000.

    Google Scholar 

  2. Shan Zhu and K.-K. Ma, new diamond search algorithm for fast block-matching motion estimation,” IEEE Trans. Image Processing, pp.287–290, vol.9, no.2, Feb. 2000.

    Article  MathSciNet  Google Scholar 

  3. M. Bierling, Displacement estimation by hierarchical block matching, ” Proc. SPIE Conf. Visual Commun. Processing’ 88, vol. 1001, pp.942–951, 1988.

    Google Scholar 

  4. B. Liu and A. Zaccarin, ew fast algorithms for the estimation of block motion vector, ” IEEE Trans. Circuits and Systems for Video Technology, pp.148–157, vol.3, no.2, Apr. 1993.

    Article  Google Scholar 

  5. Y.-L. Chan and W.-C. Siu, ew adaptive pixel decimation for block motion vector estimation, ” IEEE Trans. Circuits and Systems for Video Technology, pp.113–118, vol.6, no.1, Feb. 1996.

    Article  Google Scholar 

  6. Y. K. Wang, Y. Q. Wang, and H. Kuroda, globally adaptive pixel-decimation algorithm for block-motion estimation, ” IEEE Tran. Circuits and Systems for Video Technology, pp.1006–1011, vol.10, no. 6, Sept. 2000.

    Article  Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Yang, SW., Wang, CN., Liu, CM., Chiang, T. (2001). Fast Motion Estimation Using N-Queen Pixel Decimation. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_17

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  • DOI: https://doi.org/10.1007/3-540-45453-5_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42680-6

  • Online ISBN: 978-3-540-45453-3

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