Efficient Block Matching Algorithm for Motion Estimation
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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:50719", author = "Zong Chen", title = "Efficient Block Matching Algorithm for Motion Estimation", 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.", volume = "3", number = "11", pages = "2505-5", }