Gradient-based edge detection for motion estimation in H.264/AVC

  • Paul, Anand
  • Wu, Jiaji
  • Yang, Jar-Ferr
  • Jeong, Jechang
Citations

WEB OF SCIENCE

16
Citations

SCOPUS

26

초록

This study introduces a block-based motion estimation algorithm based on projection with adaptive window-size selection. Using one-dimensional (1D) projection, the original 2D block-matching problem is translated to a simpler 1D matching problem which eliminates the majority of potential pixel participation. The authors propose an efficient fast-motion estimation method using an intensity gradient algorithm to reduce the encoding time. The proposed algorithm estimates the texture direction of the block, and then a horizontal or vertical projection is employed for the sum of absolute difference calculation. Experimental results show that the proposed algorithm achieves a greater than 60% time reduction with negligible peak signal to noise ratio (PSNR) loss and BR increments.

키워드

VIDEOARCHITECTURE
제목
Gradient-based edge detection for motion estimation in H.264/AVC
저자
Paul, AnandWu, JiajiYang, Jar-FerrJeong, Jechang
DOI
10.1049/iet-ipr.2009.0256
발행일
2011-06
유형
Article
저널명
IET Image Processing
5
4
페이지
323 ~ 327