The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 고해상도 비디오 압축을 위한 메모리 효율적인 모션 추정(ME) 기술을 제시합니다. 주요 목표는 특히 제한된 로컬 메모리 리소스에 대해 외부 메모리 액세스를 줄이는 것입니다. 메모리 액세스를 줄이면 악명 높은 전력 소비를 성공적으로 줄일 수 있습니다. 메모리 액세스를 줄이는 핵심은 Center-biased 알고리즘이 최소한의 검색 데이터로 모션 벡터(MV) 검색을 수행한다는 점에서 Center-biased 알고리즘을 기반으로 합니다. 데이터 재사용성을 고려하면서 제안된 이중 검색 윈도우잉(DSW) 접근 방식은 검색 필요성에 따라 보조 윈도우잉을 옵션으로 사용합니다. 이렇게 하면 검색 창의 로딩이 완화되어 필요한 외부 메모리 대역폭이 줄어듭니다. 제안된 기술은 외부 메모리 대역폭을 최대 81%까지 절약할 수 있으며 135MBytes/sec만 필요로 하며, 0.2Mbits/sec로 코딩된 720p HDTV 클립의 경우 품질 저하가 8dB 미만입니다.
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Lan-Rong DUNG, Meng-Chun LIN, "Wide-Range Motion Estimation Architecture with Dual Search Windows or High Resolution Video Coding" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 12, pp. 3638-3650, December 2008, doi: 10.1093/ietfec/e91-a.12.3638.
Abstract: This paper presents a memory-efficient motion estimation (ME) technique for high-resolution video compression. The main objective is to reduce the external memory access, especially for limited local memory resource. The reduction of memory access can successfully save the notorious power consumption. The key to reduce the memory accesses is based on center-biased algorithm in that the center-biased algorithm performs the motion vector (MV) searching with the minimum search data. While considering the data reusability, the proposed dual-search-windowing (DSW) approaches use the secondary windowing as an option per searching necessity. By doing so, the loading of search windows can be alleviated and hence reduce the required external memory bandwidth. The proposed techniques can save up to 81% of external memory bandwidth and require only 135 MBytes/sec, while the quality degradation is less than 0.2 dB for 720 p HDTV clips coded at 8 Mbits/sec.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.12.3638/_p
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@ARTICLE{e91-a_12_3638,
author={Lan-Rong DUNG, Meng-Chun LIN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Wide-Range Motion Estimation Architecture with Dual Search Windows or High Resolution Video Coding},
year={2008},
volume={E91-A},
number={12},
pages={3638-3650},
abstract={This paper presents a memory-efficient motion estimation (ME) technique for high-resolution video compression. The main objective is to reduce the external memory access, especially for limited local memory resource. The reduction of memory access can successfully save the notorious power consumption. The key to reduce the memory accesses is based on center-biased algorithm in that the center-biased algorithm performs the motion vector (MV) searching with the minimum search data. While considering the data reusability, the proposed dual-search-windowing (DSW) approaches use the secondary windowing as an option per searching necessity. By doing so, the loading of search windows can be alleviated and hence reduce the required external memory bandwidth. The proposed techniques can save up to 81% of external memory bandwidth and require only 135 MBytes/sec, while the quality degradation is less than 0.2 dB for 720 p HDTV clips coded at 8 Mbits/sec.},
keywords={},
doi={10.1093/ietfec/e91-a.12.3638},
ISSN={1745-1337},
month={December},}
부
TY - JOUR
TI - Wide-Range Motion Estimation Architecture with Dual Search Windows or High Resolution Video Coding
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3638
EP - 3650
AU - Lan-Rong DUNG
AU - Meng-Chun LIN
PY - 2008
DO - 10.1093/ietfec/e91-a.12.3638
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2008
AB - This paper presents a memory-efficient motion estimation (ME) technique for high-resolution video compression. The main objective is to reduce the external memory access, especially for limited local memory resource. The reduction of memory access can successfully save the notorious power consumption. The key to reduce the memory accesses is based on center-biased algorithm in that the center-biased algorithm performs the motion vector (MV) searching with the minimum search data. While considering the data reusability, the proposed dual-search-windowing (DSW) approaches use the secondary windowing as an option per searching necessity. By doing so, the loading of search windows can be alleviated and hence reduce the required external memory bandwidth. The proposed techniques can save up to 81% of external memory bandwidth and require only 135 MBytes/sec, while the quality degradation is less than 0.2 dB for 720 p HDTV clips coded at 8 Mbits/sec.
ER -