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An Adaptive Motion Vector Estimation Method for Multi-view Video Coding Based on Spatio-temporal Correlations among Motion Vectors

움직임 벡터들의 시·공간적 상관성을 이용한 다시점 비디오 부호화를 위한 적응적 움직임 벡터 추정 기법

  • 윤효순 (전남대학교 전자컴퓨터 공학부) ;
  • 김미영 (전남도립대학교 보건의료학과)
  • Received : 2018.06.28
  • Accepted : 2018.11.26
  • Published : 2018.12.28

Abstract

Motion Estimation(ME) has been developed to reduce the redundant data in digital video signal. ME is an important part of video encoding system, However, it requires huge computational complexity of the encoder part, and fast motion search methods have been proposed to reduce huge complexity. Multi- view video is obtained by capturing on a three-dimensional scene with many cameras at different positions and its complexity increases in proportion to the number of cameras. In this paper, we proposed an efficient motion method which chooses a search pattern adaptively by using the temporal-spatial correlation of the block and the characteristics of the block. Experiment results show that the computational complexity reduction of the proposed method over TZ search method and FS method can be up to 70~75% and 99% respectively while keeping similar image quality and bit rates.

Keywords

Motion Estimation;Motion Vector;Spatia-Temporal Correlations;Muti-view Video Codind

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그림 1. TZ 기법의 초기 그리드 탐색 패턴

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그림 1. 시․공간상관성을 지닌 블록들의 움직임 벡터들

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그림 2. 제안기법의 탐색 패턴들

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그림 3. 제안기법의 순서도

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그림 3. 실험 영상

표 1. 움직임 벡터들의 시간적․공간적 상관성

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표 2. 움직임 벡터의 분포

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표 4. 실험 결과 -화질과 비트량

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표 3. 실험조건

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표 5. 실험 결과 –움직임 추정 시간 비교

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표 6. 실험 결과 –Ballroom (37)

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표 7. 실험 결과 – BDPSNR과 BDBitrate

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