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An Improved Adaptive Hexagon and Small Diamond Search

  • Fu Mo
  • Kangshun Li
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 575)

Abstract

Motion estimation have a significant impact in H.265 video coding systems because it occupies a large amount of time in encoding. So the quality of motion search algorithm affect the entire encoding efficiency directly. In this paper, a novel search algorithm which utilizes an adaptive hexagon and small diamond search is proposed to overcome the drawbacks of the traditional block matching algorithm implemented in the most current video coding standards. The adaptive search pattern is chosen according to the motion strength of the current block. When the block is in active motion, the hexagon search provides an efficient search means; when the block is inactive, the small diamond search is adopted. Simulation results showed that our approach can speed up the search process with little effect on distortion performance compared with other adaptive approaches.

Keywords

Adaptive hexagon search Diamond search Motion estimation Motion strength 

Notes

Acknowledgment

This project is supported by Science and Technological Program for Dongguan’s Higher Education, Science and Research, and Health Care Institutions. Project number: 2012108102028.

References

  1. 1.
    Ugur, K., Alshin, A., Alshina, E., Bossen, F.: Motion compensated prediction and interpolation filter design in H.265/HEVC. IEEE J. Mag. 7(6), 946–956 (2013). Nokia Corp., Tampere, FinlandGoogle Scholar
  2. 2.
    Zhu, S., Ma, K.K.: A new diamond search algorithm for fast block-matching motion estimation. IEEE Trans. Image Process. 9(2), 287–290 (2000)CrossRefMathSciNetGoogle Scholar
  3. 3.
    Han, C.D., Liu, J.L., Xiang, Z.Y.: An adaptive fast search algorithm for block motion estimation in H.264. J. Zhejiang Univ. Sci. C 11(8), 637–644 (2010)CrossRefGoogle Scholar
  4. 4.
    Sourabh, R., Neeta, T.: Hexagonal based search pattern for motion estimation in H.264/AVC. World Comput. Sci. Inf. Technol. J. 1(4), 162–166 (2011)Google Scholar
  5. 5.
    Yan, Y.X., Meng, S.L.: A new hybrid search scheme for video motion estimation. J. Convergence Inf. Technol. 6(3), 106–112 (2011)CrossRefGoogle Scholar
  6. 6.
    Goel, S., Ismail, Y., Bayoumi, M.A.: Adaptive search window size algorithm for fast motion estimation in H.264/AVC standard. In: The 48th Midwest Symposium on Circuits and System, vol. 2, pp. 1557–1560 (2005)Google Scholar
  7. 7.
    Huang, Y.W., Hsieh, B.Y., Chien, S.Y., et al.: Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC. IEEE Trans. Circuits Syst. Video Technol. 16(4), 507–522 (2006)CrossRefGoogle Scholar
  8. 8.
    Kim, S.E., Han, J.K., Kim, J.G.: An efficient scheme for motion estimation using multireference frames in H.264/AVC. IEEE Trans. 8(3), 457–466 (2006)Google Scholar
  9. 9.
    Zhu, C., Lin, X., Chua, L.P.: Hexagon-eased search pattern for fast block motion estimation. IEEE Trans. Circ. Syst. Video Technol. 12(50), 349–355 (2002)CrossRefGoogle Scholar
  10. 10.
    Wong, H.M., Au, O.C., Ho, C.W., et al.: Enhanced predictive motion vector field adaptive search technique (E-PMVFAST) -based on future mv prediction. In: Proceedings of IEEE International Conference on Multimedia and Expo, pp. 1–4 (2005)Google Scholar
  11. 11.
    Tourapis, A.M., Au, O.C., Liou, M.L.: Fast block-matching motion estimation using predictive motion vector field adaptive search technique (PMVFAST). In: ISO/IEC JTC1/SC29/WG11 MPEG99/m5866, Noordwijkerhout, The Netherland, March 2000Google Scholar
  12. 12.
    Cheung, C.H., Po, L.M.: Novel cross-diamond-hexagonal search algorithms for fast block motion estimation. IEEE Trans. Multimedia 7(1), 16–22 (2005)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceGuangdong University of Science and TechnologyDongguanChina

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