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
학술저널
저자정보
Seung-Won Park (Inha University) Chae Eun Rhee (Inha University)
저널정보
대한전자공학회 JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE Journal of Semiconductor Technology and Science Vol.18 No.6
발행연도
2018.12
수록면
737 - 747 (11page)
DOI
10.5573/JSTS.2018.18.6.737

이용수

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

초록· 키워드

오류제보하기
As the demand for high-definition video services has increased in recent years, high efficiency video coding (HEVC) has adopted as the nextgeneration compression standard, as of 2013. With regard to hardware-based HEVC encoders, there have been many efforts to improve the processing speed of ME through parallel execution. In this case, the advanced motion vector predictor (AMVP) information must be provided quickly for ME. However, for the parallel processing of AMVP to be accelerated, there is a dependency problem during the generation of the AMVP information. The size of the AMVP hardware also increases sharply. In this paper, two schemes are proposed for a rapid and small AMVP generation module. First, the reduced AMVP scheme avoids the data dependency problem while minimizing hardware resources through the use of approximation. Second, the AMVP reuse scheme correct the approximation to follow the standard with a short execution time. The proposed AMVP hardware is implemented and tested in Verilog. Simulation results show that the performance of the AMVP hardware is greatly improved in terms of the speed and resource use, while the degradation of the compression efficiency is negligible.

목차

Abstract
I. INTRODUCTION
II. OVERVIEW OF AMVP IN HEVC
III. PREVIOUS WORKS
IV. PROPOSED FAST AMVP GENERATION SCHEMES
V. HARDWARE IMPLEMENTATION
VI. PERFORMANCE ANALYSIS AND COMPARISON
V. CONCLUSIONS
REFERENCES

참고문헌 (19)

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