Advertisement

Adaptive Two-Step Adjustable Partial Distortion Search Algorithm for Motion Estimation

  • Yonghoon Kim
  • Dokyung Lee
  • Jechang Jeong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6938)

Abstract

Motion estimation is widely used in video coding schemes, because it enables the transmission and storage of video signals within lower bit rate. A full search (FS) algorithm is optimal method of motion estimation, but it is suffers from high computational complexity. To reduce the complexity various methods are proposed. Recently, two-step edge based partial distortion search algorithm (TS-EPDS) is introduced, and it shows about 100 times faster than FS without PSNR degradation. In this paper, we proposed adaptive two-step adjustable partial distortion search algorithm, and it is 200 times faster than FS with negligible PSNR decrease. The proposed algorithm is suitable for real time implementation of high quality digital video application.

Keywords

Motion Vector Motion Estimation Full Search Partial Distortion Candidate Motion Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Li, R., Zeng, B., Liuo, M.L.: A new three-step search algorithm for block motion estimation. IEEE Trans. Circuits Syst. Video Technol. 4(4), 438–442 (1994)CrossRefGoogle Scholar
  2. 2.
    Zhu, S., Ma, K.-K.: A new diamond search algorithm for fast block matching motion estimation. IEEE Trans. Image Processing, col. 92(2), 287–293 (2000)Google Scholar
  3. 3.
    Ghanbari, M.: The cross-search algorithm for motion estimation. IEEE Trans. Commun. 38, 950–953 (1990)CrossRefGoogle Scholar
  4. 4.
    Jain, J.R., Jain, A.K.: Displacement measurement and its application in inter frame image coding. IEEE Trans. Commun. COM-29(12), 1799–1808 (1981)CrossRefGoogle Scholar
  5. 5.
    Li, R., Zeng, B., Liou, M.L.: A new three-step search algorithm for block motion estimation. IEEE Trans. Circuits. Syst. Video Technol. 4, 438–442 (1994)CrossRefGoogle Scholar
  6. 6.
    Po, L.M., Ma, W.C.: A novel four step search algorithm for fast block motion estimation. IEEE Trans. Circuits Syst. Video Technol. 6(3), 313–317 (1996)CrossRefGoogle Scholar
  7. 7.
    Chow, K.H.K., Liou, M.L.: Generic motion search algorithm for video compression. IEEE Trans. Circuits Syst. Video Technol. 3, 440–445 (1993)CrossRefGoogle Scholar
  8. 8.
    Liu, B., Zaccarin, A.: New fast algorithms for the estimation of block motion vectors. IEEE Trans. Circuits Syst. Video Technol. 3(2), 148–157 (1993)CrossRefGoogle Scholar
  9. 9.
    Bei, C.D., Gray, R.M.: An improvement of the minimum distortion encoding algorithm for vector quantization. IEEE Trans. Commun. COM-33, 1132–1133 (1985)CrossRefGoogle Scholar
  10. 10.
    Montrucchio, B., Quaglia, D.: New sorting based lossless motion estimation algorithms and a partial distortion elimination performance analysis. IEEE Trans. Circuits Syst. Video Technol. 15(2), 210–220 (2005)CrossRefGoogle Scholar
  11. 11.
    Cheung, C.K., Po, L.M.: Normalized partial distortion algorithm for block motion estimation. IEEE Trans. Circuits Syst. Video Technol. 10(3), 417–422 (2000)CrossRefGoogle Scholar
  12. 12.
    Cheung, C.K., Po, L.M.: Adjustable partial distortion search algorithm for fast block motion estimation. IEEE Trans. Circuits Syst. Video Technol. 13(1), 100–110 (2003)CrossRefGoogle Scholar
  13. 13.
    Hong, W.G., Oh, T.M.: Enhanced partial distortion search algorithm for block motion estimation. Electronic Letters, 1112–1113 (2003)Google Scholar
  14. 14.
    Kim, J.N., Byun, S.C., Kim, Y.H., Ahn, B.H.: Fast full search motion estimation algorithm using early detection of impossible candidate vectors. IEEE Trans. Signal Process. 50(9), 2355–2365 (2002)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Montrucchio, B., Quaglia, D.: New sorting based lossless motion estimation algorithms and a partial distortion elimination performance analysis. IEEE Trans. Circuits Syst. Video Technol. 15(2), 210–220 (2005)CrossRefGoogle Scholar
  16. 16.
    Choi, C.R., Jeong, J.J.: New Sorting-Based Partial Distortion Elimination Algorithm for Fast Optimal Motion Estimation. IEEE Trans. Consumer Electron. 55(4), 2335–2340 (2009)CrossRefGoogle Scholar
  17. 17.
    Sarwer, M.G., Jonathan Wu, Q.M.: Efficient Two Step Edge based Partial Distortion Search for Fast Block Motion Estimation. IEEE Trans. Consumer Electron. 55(4), 2154–2162 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yonghoon Kim
    • 1
  • Dokyung Lee
    • 1
  • Jechang Jeong
    • 1
  1. 1.Department of Electronics and Computer EngineeringHanyang UniversitySouth Korea

Personalised recommendations