Efficient Block Matching Algorithm for Motion Estimation
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32795
Efficient Block Matching Algorithm for Motion Estimation

Authors: Zong Chen

Abstract:

Motion estimation is a key problem in video processing and computer vision. Optical flow motion estimation can achieve high estimation accuracy when motion vector is small. Three-step search algorithm can handle large motion vector but not very accurate. A joint algorithm was proposed in this paper to achieve high estimation accuracy disregarding whether the motion vector is small or large, and keep the computation cost much lower than full search.

Keywords: Motion estimation, Block Matching, Optical flow, Three step search.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055465

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2119

References:


[1] J. R. Jain and A. K. Jain, "Displacement measurement and its application in interframe image coding," IEEE Trans. Commun., Vol. COM-29, pp. 1799-1808, Dec. 1981.
[2] H. G. Musmann, P. Pirsch and H.-J. Grallert, "Advances in picture coding," Proc. IEEE, Vol. 73, No. 4, pp. 523-548, 1985.
[3] V. Bashkaran and K. Konstantinides, "Image and video compression standards: algorithms and architectures," Kluwer Academic Publishers, 1995.
[4] A. Murat Tekalp, "Digital video processing," Prentice-Hall, 1995.
[5] K. R. Rao and J. J. Hwang, "Techniques and standards for image, video and audio Coding," Prentice-Hall, 1996.
[6] F. Dufaux and F. Moscheni, "Motion estimation techniques for digital TV: A review and a new contribution," Proc. IEEE, Vol. 83, No. 6, June 1995.
[7] B. D. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision," in Proceedings of DARPA Image Understanding, pp. 121-130, 1981.
[8] T. Koga, K. Iinuma, A. Hirano, Y. Iijima, T. Ishiguro, "Motioncompensated interframe coding for video conferencing," Proceedings NTC'81 (IEEE), pp.5.3.1 - G.5.3.4
[9] A. Singh, "Optical flow: a unified perspective," IEEE Computer Society Press, Loas Alamitos, CA, 1991.
[10] J.L. Barron, D.J. Fleet, and S.S. Beauchemin, "Performance of Optical Flow Techniques," in International Journal of Computer Vision, February 1994, vol. 12(1), pp. 43-77.
[11] P. Anandan, "A computational framework and an algorithm for the measurement of visual motion," in International Journal of Computer Vision, Vol. 2, pp. 283-310, January 1989.