Least Squares Based Adaptive Motion Vector Prediction Algorithm for Video Coding 


Vol. 29,  No. 9, pp. 1330-1336, Sep.  2004


PDF
  Abstract

This paper addresses an adaptive motion vector prediction algorithm to improve the performance of video encoder. The block-based motion vector is characterized by non-stationary local statistics so that the coefficients of LS (Least Squares) based linear motion can be optimized. However, it requires very expensive computational cost. The proposed algorithm using LS approach with spatially varying motion-directed property adaptively controls the coefficients of the motion predictor and reduces the computational cost as well as the motion prediction error. Experimental results show the capability of the proposed algorithm.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. Kim, J. Jeong, M. Hong, "Least Squares Based Adaptive Motion Vector Prediction Algorithm for Video Coding," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 9, pp. 1330-1336, 2004. DOI: .

[ACM Style]

Ji-hee Kim, Jong-woo Jeong, and Min-Cheol Hong. 2004. Least Squares Based Adaptive Motion Vector Prediction Algorithm for Video Coding. The Journal of Korean Institute of Communications and Information Sciences, 29, 9, (2004), 1330-1336. DOI: .

[KICS Style]

Ji-hee Kim, Jong-woo Jeong, Min-Cheol Hong, "Least Squares Based Adaptive Motion Vector Prediction Algorithm for Video Coding," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 9, pp. 1330-1336, 9. 2004.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880