MPEG-2 Motion Estimation using a PC Cluster

D. Grosu and H. Gâlmeanu

References

  1. [1] ISO/IEC 13818-2, Information technology—Generic coding ofmoving pictures and associated audio—Part 2, video, 1995.
  2. [2] K.R. Rao & Z.S. Bojkovic, Packet video communications overATM networks (Upper Saddle River, NJ: Prentice Hall, 2000).
  3. [3] N. Ahmed, T. Natarajan, & K.R. Rao, Discrete cosine transform, IEEE Trans. Computers, C-23, January 1974, 90–93. doi:10.1109/T-C.1974.223784
  4. [4] R.C. Gonzales & R.E. Woods, Digital image processing(Reading, MA: Addison Wesley, 1992).
  5. [5] D.M. Barbosa, J.P. Kitajima, & W. Meira Jr., ParallelizingMPEG video encoding using multiprocessors, Proc. XIIBrazilian Symp. on Computer Graphics and Image Processing,Campinas, Brazil, 1999, 215–222. doi:10.1109/SIBGRA.1999.805727
  6. [6] M.K. Steliaros, G.R. Martin, & R.A. Packwood, Parallelizationof block matching motion estimation algorithms, ResearchRep. RR-320, Department of Computer Science, University ofWarwick, Coventry, UK, January 1997.
  7. [7] S.M. Akramullah, I. Ahmad, & M.L. Liou, Performance ofsoftware-based MPEG-2 video encoder on parallel and distributed systems, IEEE Trans. on Circuits and Systems for Video Technology, 7 (4), 1997, 687–695. doi:10.1109/76.611179
  8. [8] F. Dufaux & F. Moscheni, Motion estimation techniques fordigital TV: A review and a new contribution, IEEE Proc.,83 (6), 1995, 858–876. doi:10.1109/5.387089
  9. [9] Y.S. Chen, Y.P. Hung, & C.S. Fuh, Fast block-matchingalgorithm based on the winner-update strategy, IEEE Trans.on Image Processing, 10 (8), 2001, 1212–1222. doi:10.1109/83.935037
  10. [10] A. Chimienti, C. Ferraris, & D. Pau, A complexity-boundedmotion estimation algorithm, IEEE Trans. on ImageProcessing, 11 (4), 2002, 387–392. doi:10.1109/TIP.2002.999673
  11. [11] V.G. Moshnyaga, A new computationally adaptive formulationof block-matching motion estimation, IEEE Trans. on Circuitsand Systems for Video Technology, 11 (1), 2001, 118–124. doi:10.1109/76.894295
  12. [12] Y.K. Lai, A memory-efficient motion estimator for three stepsearch block-matching algorithm, IEEE Trans. on ConsumerElectronics, 47 (3), 2001, 644–651. doi:10.1109/30.964158
  13. [13] H. Gharavi & H.R. Alikhani, Pel-recursive motion estimationalgorithm, Electronic Letters, 37 (21), 2001, 1285–1286. doi:10.1049/el:20010879
  14. [14] R. Srinivasan & K.R. Rao, Predictive coding based on efficientmotion estimation, IEEE Trans. on Communications, COM-33 (8), 1985, 888–896. doi:10.1109/TCOM.1985.1096398
  15. [15] T. Koga, K. Ilnuma, A. Hirano, I. Iijima, & T. Isshiguro,Motion compensated interframe coding for video conferencing,Proc. Nat. Telecommunications Conf., Vol. 4, New York, 1981,G.5.3.1–5.
  16. [16] M. Ghanbari, The cross-search algorithm for motion estimation,IEEE Trans. on Communications, 38 (7), 1990, 950–953. doi:10.1109/26.57512
  17. [17] B. Liu & A. Zaccarin, New fast algorithms for the estimationof block motion vectors, IEEE Trans. Circuits Syst. VideoTechnologies, 3 (2), 1993, 148–157. doi:10.1109/76.212720
  18. [18] C.D. Bei & R.M. Gray, An improvement of the minimumdistortion encoding algorithm for vector quantization, IEEETrans. on Communications, COM-33, October 1985, 1132–1133. doi:10.1109/TCOM.1985.1096214
  19. [19] A. Gersho & R.M. Gray, Vector quantization and signal compression (Boston, MA: Kluwer, 1992).
  20. [20] A.L. Beguelin, J.J. Dongarra, G.A. Geist, W.C. Jiang,R.J. Manchek, B.K. Moore, & V.S. Sunderam, PVM: ParallelVirtual Machine—A user’s guide and tutorial for networkedparallel computing (Cambridge, MA: MITPress, 1994).
  21. [21] MPEG Software Simulation Group, http://www.mpeg.org/MSSG.

Important Links:

Go Back