Efficient Motion Estimation Algorithms for Video Coding

Ming Te Wu

doi:10.4028/www.scientific.net/AMR.225-226.953

Paper Titles

A Failure Criterion for Cracked Rock Mass under Seepage Pressure and Confining Pressure
p.937

Online Video Teaching System Research Based on P2P Technology
p.941

Research of Chinese Segmentation Based on MMSeg and Double Array TRIE
p.945

A New Type of ECG Signal Sample and Analysis System
p.949

Efficient Motion Estimation Algorithms for Video Coding
p.953

Mobile Data Replication Algorithms Based on Agent
p.957

Application of Multifactor Ranking Method in Industrial Project Site Selection
p.961

Design of Wireless Automatic Meter Reading System
p.966

A Trace Inequality for Symmetric Nonnegative Definite Matrices
p.970

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 225-226Efficient Motion Estimation Algorithms for Video...

Efficient Motion Estimation Algorithms for Video Coding

Abstract:

This work proposes an efficient motion estimation algorithm for video coding. The proposed method calculates the partial distortion by replacing a certain number pixels of each partial sub-macroblock. In addition to increase the probability of the rejection of unsuitable motion vectors without additional computations, the proposed approach reduce computational complexity significantly and obtains better objective quality than conventional motion estimation algorithms.

You might also be interested in these eBooks

Advanced Research on Automation, Communication, Architectonics and Materials

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 225-226)

Pages:

953-956

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.225-226.953

Citation:

Cite this paper

Online since:

April 2011

Authors:

Ming Te Wu

Keywords:

Computational Complexity, Motion Estimation, Motion Vector, Objective Quality, Partial Distortion, Video Coding

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] L.W. Lee, J.F. Wang, J.Y. Lee, and J.D. Shie, Dynamic search-window adjustment and interlaced search for block-matching algorithm, IEEE Trans. Circuits Syst. Video Technol., vol. 3, pp.85-87, Feb. (1993).

DOI: 10.1109/76.180692

Google Scholar

[2] B. Liu and A. Zaccarin, New fast algorithm for estimation of block motion vectors, IEEE Trans. Circuits Syst. Video Technol., vol. 3, no. 2, pp.148-157, Apr. (1993).

DOI: 10.1109/76.212720

Google Scholar

[3] S. Zhu and K. -K. Ma, A new diamond search algorithm for fast block-matching motion estimation, IEEE Trans. Image Process., vol. 9, no. 2, pp.287-290, (2000).

DOI: 10.1109/83.821744

Google Scholar

[4] C. Zhu, X. Lin and L. -P. Chau, Hexagon_based search pattern for fast block motion estimation, IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 5, pp.349-355, (2002).

DOI: 10.1109/tcsvt.2002.1003474

Google Scholar

[5] J. -Y. Tham, S. Ranganath, M. Ranganath and A. A. Kassim, A novel unrestricted center-biased diamond search algorithm for block motion estimation, IEEE Trans. Circuits Syst. Video Technol., vol. 8, no. 4, pp.369-377, (1998).

DOI: 10.1109/76.709403

Google Scholar

[6] C. -K. Cheung and L. -M. Po, Normalized partial distortion search algorithm for block motion estimation, IEEE Trans. Circuits Syst. Video Technol., vol. 10, no. 3, pp.417-422, (2000).

DOI: 10.1109/76.836286

Google Scholar

[7] C. -K. Cheung and L. -M. Po, Adjustable partial distortion search algorithm for fast block motion estimation, IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 1, pp.100-110, (2003).

DOI: 10.1109/tcsvt.2002.808091

Google Scholar

[8] C. -H. Yeh, M. -T. Wu and S. -J. Chern, Correlation-based normalized partial distortion search algorithm for motion estimation, Optical Engineering, vol. 44, no. 8, p.087012, (2008).

DOI: 10.1117/1.2955813

Google Scholar