메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Jin-Su Jung (서울대학교) Dong-Uk Moon (서울대학교) Hyuk-Jae Lee (서울대학교)
저널정보
대한전자공학회 ICEIC : International Conference on Electronics, Informations and Communications ICEIC : 2008
발행연도
2008.6
수록면
229 - 233 (5page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Motion estimation accounts for more than eighty percent of the total computation of H.264/AVC standard video compression. Full search based motion estimation is widely used for hardware implementation of an H.264/AVC encoder because of its simplicity and regularity. However, it requires a large amount of computation because it searches for all pixel points in the search range. This paper proposes a new hardware implementation of motion estimation which is a full search based motion estimation, but it reduces the search range around the seed motion vector predicted from neighboring macroblocks. The search range is determined by the variance of neighboring motion vectors. Simulation results show that the search range is reduced to less than ten percent of the original search range while the increase of bit rate is marginal. The result of integer motion estimation (IME) is used for the reduction of the computation of fractional motion estimation (FME). When the block size from IME is 16×16, only eight 4×4 blocks are evaluated for the derivation of Sum of Absolute Difference (SAD) between the current block and the reference block in the search range. Simulations results show that the degradation of the rate distortion performance is negligible by the proposed partial evaluation while the computation reduction ranges from 27.8% to 47.1%.

목차

Abstract
1. Introduction
2. Search range adjustment for IME
3. Partial cost evaluation for FME
4. Experimental results
5. Conclusions
Acknowledgments
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2012-569-004331621