Journal of KIISE:Software and Applications (한국정보과학회논문지:소프트웨어및응용)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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A Fast Full-Search Motion Estimation Algorithm using Adaptive Matching Scans based on Image Complexity

영상 복잡도와 다양한 매칭 스캔을 이용한 고속 전영역 움직임 예측 알고리즘

  • 김종남 (부경대학교 전자컴퓨터정보통신공학부)
  • Published : 2005.10.01
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Abstract

In this Paper, we propose fast block matching algorithm by dividing complex areas based on complexity order of reference block and square sub-block to reduce an amount of computation of full starch(FS) algorithm for fast motion estimation, while keeping the same prediction quality compared with the full search algorithm. By using the fact that matching error is proportional to the gradient of reference block, we reduced unnecessary computations with square sub-block adaptive matching scan based image complexity instead of conventional sequential matching scan and row/column based matching scan. Our algorithm reduces about $30\%$ of computations for block matching error compared with the conventional partial distortion elimination(PDE) algorithm without any prediction quality, and our algorithm will be useful in real-time video coding applications using MPEG-4 AVC or MPEG-2.

본 논문에서는 기존의 전영역 탐색 방식의 계산량을 현저히 줄임과 동시에 동일한 예측 화질을 얻기 위해, 기준 블록의 복잡도 순서와 정방형 서브블럭을 가지고 복잡한 영역 세분화를 통한 고속 블록 매칭(block matching) 알고리즘을 제안하였다. 매칭 에러가 기준 블록 기울기 크기에 비례한다는 것을 이용하여 종래의 순차적인 매칭 스캔(matching scan) 과 행/열 기반의 적응 매칭 스캔 대신, 복잡도에 기초한 정방형 서브 블록(sub-block) 적응 매칭 스캔을 가지고 불필요한 계산을 효율적으로 줄였다. 제안된 알고리즘은 예측 화질의 저하 없이 기존의 PDE(partial distortion elimination) 알고리즘을 이용한 전영역 탐색 방법에 비해 $30\%$의 계산량을 줄였으며, MPEG-2 및 MPEG-4 AVC를 이용하는 비디오 압축 응용분야에 유용하게 사용될 수 있을 것이다.

Keywords

References

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