Linear Hashtable Method Predicted Hexagonal Search Algorithm with Spatial Related Criterion

  • Yunsong Wu
  • Graham Megson
  • Zhengang Nie
  • F. N. Alavi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)


The paper presents a novel Linear Hashtable Method Predicted Hexagonal Search (LHMPHS) method for block base motion compensation. It bases on the edge motion estimation algorithm called hexagonal search (HEXBS). Most current variances of hexagonal search are investigated. On the basis of research of previous algorithms, we proposed a Linear Hashtable Motion Estimation Algorithm (LHMEA). The proposed algorithm introduces hashtable into motion estimation. It uses information from the current frame. The criterion uses spatially correlated macroblock (MB)’s information. Except for coarse search, the spatially correlated information is also used in inner search. The performance of the algorithm is evaluated by using standard video sequences and the results are compared to current algorithms such as Full Search, Logarithmic Search etc. The evaluation considers the three important metrics: time, compression rate and PSNR.


Motion Vector Motion Estimation Current Frame Search Point Full Search 
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.


  1. 1.
    li, Z.-N.: Lecture Note of Computer Vision on personal website (2000)Google Scholar
  2. 2.
    Po, L.M., Ma, W.C.: A novel four-step search algorithm for fast block motion estimation. IEEE and systems for video technology 6, 313–317 (1996)CrossRefGoogle Scholar
  3. 3.
    Liu, L.K., Feig, E.: A block-based gradient descent search algorithm for block motion estimation in video coding. IEEE Trans. Circuits Syst. Video Technol. 6, 419–423 (1996)CrossRefGoogle Scholar
  4. 4.
    Zhu, S., Ma, K.-K.: A new diamond search algorithm for fast blockmatching motion estimation: IEEE Trans. Image Processing 9, 287–290 (2000)CrossRefGoogle Scholar
  5. 5.
    Tham, J.Y., Ranganath, S., Ranganath, M., Kassim, A.A.: A novel unrestricted center-biased diamond search algorithm for block motion estimation: IEEE Trans. Circuits and systems for video technology 8, 369–377 (1998)CrossRefGoogle Scholar
  6. 6.
    Zhu, C., Lin, X., Chau, L.-P.: Hexagon-Based Search Pattern for Fast Block Motion Estimation: IEEE Trans on circuits and syst. for video technology 12(5) (May 2002)Google Scholar
  7. 7.
    Zhu, C., Lin, X., Chau, L.P.: An Enhanced Hexagonal Search Algorithm for Block Motion Estimation. In: IEEE International Symposium on Circuits and Systems, ISCAS 2003, Bangkok, Thailand (May 2003)Google Scholar
  8. 8.
    Zhu, C., Senior Member, IEEE, Lin, X., Chau, L., Po, L.-M.: Enhanced Hexagonal Search for Fast Block Motion Estimation. IEEE Trans on circuits and systems for video technology 14(10) (October 2004)Google Scholar
  9. 9.
    De Pascalis, P., Pezzoni, L., Mian, G.A., Bagni, D.: Fast Motion Estimation With Size-Based Predictors Selection Hexagon Search. In: H.264/AVC encoding: EUSIPCO (2004)Google Scholar
  10. 10.
    Tourapis, A.M., Au, O.C., Liou, M.L.: Predictive Motion Vector Field Adaptive Search Technique (PMVFAST) Enhancing Block Based Motion Estimation. In: Proceedings of Visual Communications and Image Processing, San Jose, CA (January 2001)Google Scholar
  11. 11.
    Tourapis, A.M., Au, O.C., Liou, M.L.: Highly Efficient Predictive Zonal Algorithms for Fast Block. Matching Motion Estimation: IEEE Transactions on Circuits and Systems for Video Technology 12(10), 934–947 (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yunsong Wu
    • 1
  • Graham Megson
    • 1
  • Zhengang Nie
    • 2
  • F. N. Alavi
    • 3
  1. 1.Computer ScienceReading UniversityReadingUK
  2. 2.Beihang University 
  3. 3.Computer ScienceQueen Marry, University of London 

Personalised recommendations