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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
- 제목
- Gradient-based edge detection for motion estimation in H.264/AVC
- 저자
- Paul, Anand; Wu, Jiaji; Yang, Jar-Ferr; Jeong, Jechang
- 발행일
- 2011-06
- 유형
- Article
- 권
- 5
- 호
- 4
- 페이지
- 323 ~ 327