Aiming to solve the problem of long table look-up time in table look-up of CAVLC (Context-based Adaptive Variable Length Coding) for H.264/ AVC, a quick table look-up algorithm based on hash query (TLHQ) is proposed to reduce table look-up time for CAVLC decoding in this paper. The basic idea of the new algorithm is that it uses query technology of hash table to rapidly determine code length based on the number of zero in code prefix, As a result, it can save a lot of time of table looking-up and code judging. Experimental results show that our supposed new algorithm could reduce about 20% table look-up time and save 1056 byte storage space for CAVLC decoding in H.264/AVC.
목차
Abstract 1. Introduction 2. The Principle and Complexity Analysis of CAVLC Decoding 2.1. Principle of CAVLC Decoding 2.2. Complexity Analysis of CAVLC Decoding 3. Proposed Scheme 3.1. Variable Length Tables 3.2. Relationship between Code Length and Numbers of 0 in Code Prefix 3.3. Build Hash Table 3.4. Tables Look-up Algorithm Based on Hash Query 4. Simulation Results and Analysis 4.1. Simulation Environment 4.2. Reduce Table Look-up Time 4.3. Save Table Storage Space 5. Conclusion Acknowledgements References
키워드
Table look-upHash queryCAVLC decodingDecoding time
저자
Jianhua Wang [ Faculty of Automation, Guangdong University of Technology, P. R. China ]
Lianglun Cheng [ Faculty of Automation, Guangdong University of Technology, P. R. China ]
Jun Liu [ Faculty of Automation, Guangdong University of Technology, P. R. China ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.5