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The Scientific World Journal
Volume 2014, Article ID 381056, 14 pages
http://dx.doi.org/10.1155/2014/381056
Research Article

An Adaptive Motion Estimation Scheme for Video Coding

School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China

Received 13 November 2013; Accepted 24 December 2013; Published 11 February 2014

Academic Editors: G. L. Foresti and J. Tian

Copyright © 2014 Pengyu Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. T. Wiegand, G. J. Sullivan, G. Bjøntegaard, and A. Luthra, “Overview of the H.264/AVC video coding standard,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, no. 7, pp. 560–576, 2003. View at Publisher · View at Google Scholar · View at Scopus
  2. Q. Tang and P. Nasiopoulos, “Efficient motion re-estimation with rate-distortion optimization for MPEG-2 to H.264/AVC transcoding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 2, pp. 262–274, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. C. Choi and J. Jeong, “New sorting-based partial distortion elimination algorithm for fast optimal motion estimation,” IEEE Transactions on Consumer Electronics, vol. 55, no. 4, pp. 2335–2340, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. T. Koga, “Motion-compensated interframe coding for video conferencing,” in Proceedings of the National Telecommunications Conference (NTC '81), 1981.
  5. L.-M. Po and W.-C. Ma, “A novel four-step search algorithm for fast block motion estimation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 6, no. 3, pp. 313–317, 1996. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Zhu and K.-K. Ma, “A new diamond search algorithm for fast block-matching motion estimation,” IEEE Transactions on Image Processing, vol. 9, no. 2, pp. 287–290, 2000. View at Publisher · View at Google Scholar · View at Scopus
  7. C. Zhu, X. Lin, and L.-P. Chau, “Hexagon-based search pattern for fast block motion estimation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 5, pp. 349–355, 2002. View at Publisher · View at Google Scholar · View at Scopus
  8. Z. Chen, J. Xu, Y. He, and J. Zheng, “Fast integer-pel and fractional-pel motion estimation for H.264/AVC,” Journal of Visual Communication and Image Representation, vol. 17, no. 2, pp. 264–290, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. A. M. Tourapis, O. C. Au, and M. L. Liou, “Predictive Motion Vector Field Adaptive Search Technique (PMVFAST)—enhancing block based motion estimation,” in Visual Communications and Image Processing, vol. 4310 of Proceedings of SPIE, pp. 883–892, January 2001. View at Publisher · View at Google Scholar · View at Scopus
  10. A. M. Tourapis, “Enhanced predictive zonal search for single and multiple frame motion estimation,” in Viual Communications and Image Processing, vol. 4671 of Proceedings of SPIE, pp. 1069–1079, January 2002. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. Song and A. Akoglu, “An adaptive motion estimation architecture for H.264/AVC,” Journal of Signal Processing Systems, vol. 73, no. 2, pp. 161–179, 2013. View at Publisher · View at Google Scholar
  12. C.-S. Park, “A general search strategy for multiple reference frame motion estimation,” in Proceedings of the IEEE International Conference on Consumer Electronics (ICCE '13), pp. 326–327, IEEE, 2013. View at Publisher · View at Google Scholar
  13. C. Choi and J. Jeong, “Constrained two-bit transform for low complexity motion estimation,” in Proceedings of the IEEE International Conference on Consumer Electronics (ICCE '13), IEEE, 2013.
  14. S.-G. Kim, T.-G. Ahn, and S.-H. Park, “Motion estimation algorithm for periodic pattern objects based on spectral image analysis,” in Proceedings of the IEEE International Conference on Consumer Electronics (ICCE '13), IEEE, 2013.
  15. K. Chen, Z. Zhou, and W. Wu, “Clustering based search algorithm for motion estimation,” in Proceedings of the IEEE International Conference on Multimedia and Expo (ICME '12), IEEE, 2012.
  16. X.-B. Qiu and C.-Q. Huang, “An improved algorithm of fast motion estimation based on H.264,” in Proceedings of the 5th International Conference on Computer Science and Education (ICCSE '10), pp. 1717–1721, IEEE, August 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. Z. Li and Q. Yang, “A fast adaptive motion estimation algorithm,” in Proceedings of the International Conference on Computer Science and Electronics Engineering (ICCSEE '12), vol. 3, IEEE, 2012.
  18. H. Yang, H.-B. Pan, S.-Z. He, and L. Li, “Improvements on fast motion estimation strategy based on UMHexagonS for H.264,” Computer Engineering and Design, vol. 34, no. 2, pp. 550–555, 2013. View at Google Scholar
  19. X.-J. Wu, S.-J. Bai, and W.-T. Lu, “Optimization on motion estimation algorithm based on H.264,” Acta Electronica Sinica, vol. 37, no. 11, pp. 2541–2545, 2009. View at Google Scholar · View at Scopus
  20. G. Chen, Z. Cao, and C. Liu, “Algorithm research and improvement of UMHexagonS based on H.264/AVC video standard,” in Proceedings of the International Conference on E-Product E-Service and E-Entertainment (ICEEE '10), IEEE, November 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. X. Lifen, H. Chunqing, and C. Bihui, “UMHexagonS search algorithm for fast motion estimation,” in Proceedings of the 3rd International Conference on Computer Research and Development (ICCRD '11), vol. 1, pp. 483–487, IEEE, March 2011. View at Publisher · View at Google Scholar · View at Scopus
  22. L. Huayi, M. Lini, and L. Hai, “Analysis and optimization of the UMHexagons algorithm in H.264 based on SIMD,” in Proceedings of the 2nd International Conference on Communication Systems, Networks and Applications (ICCSNA '10), pp. 239–244, July 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. A. B. Jambek, Y. Y. Lai, and A. A. Juri, “Design and analysis of fast search motion estimation architecture for video compression,” in Proceedings of the 4th International Conference on Intelligent and Advanced Systems (ICIAS '12), vol. 1, IEEE, 2012.
  24. P. Liu and K. Jia, “Research and optimization of low-complexity motion estimation method based on visual perception,” IEEE Journal of Information Hiding and Multimedia Signal Processing, vol. 2, no. 3, pp. 217–226, 2011. View at Google Scholar