Volume 8 Number 11 (Nov. 2013)
Home > Archive > 2013 > Volume 8 Number 11 (Nov. 2013) >
JSW 2013 Vol.8(11): 2863-2870 ISSN: 1796-217X
doi: 10.4304/jsw.8.11.2863-2870

A Fast Motion Estimation Algorithm Based on Motion Vector Distribution Prediction

Yuan Gao, Peng-yu Liu, Ke-bin Jia

Beijing University of Technology, Beijing, China

Abstract—The main factor that impacts the implementation and application of the latest video coding standard H.264/AVC is the rapid decline encoding speed which is caused by the cost of increased computational complexity. Reducing time-consuming of motion estimation is the key to improve encoding efficiency. In this paper, according to UMHexagonS algorithm, a method of motion vector distribution prediction is proposed and combines with designed patterns to achieve adaptive sub-regional searching. Simulation results show that the proposed motion estimation scheme achieves reducing 21.40% motion estimation encoding time with a good rate-distortion performance compared with UMHexagonS algorithm in JM18.4. The proposed algorithm improves the performance of real-time encoding.

Index Terms—H.264/AVC, Motion Estimation, UMHexagonS algorithm, Motion Vector Distribution Prediction.

[PDF]

Cite: Yuan Gao, Peng-yu Liu, Ke-bin Jia, "A Fast Motion Estimation Algorithm Based on Motion Vector Distribution Prediction," Journal of Software vol. 8, no. 11, pp. 2863-2870, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Nov 02, 2023 News!

    Vol 18, No 4 has been published with online version   [Click]