IEICE TRANSACTIONS on Electronics
Multiple Region-of-Interest Based H.264 Encoder with a Detection Architecture in Macroblock Level Pipelining
Summary :
This paper proposes a region-of-interest (ROI) based H.264 encoder and the VLSI architecture of the ROI detection algorithm. In ROI based video coding system, pre-processing unit to detect ROI should only introduce low computational complexity overhead due to the low power requirement. The Macroblocks (MBs) in ROIs are detected sequentially in the same order of H.264 encoding to satisfy the MB level pipelining of ROI detector and H.264 encoder. ROI detection is performed in a novel estimation-and-verification process with an ROI contour template. Proposed architecture can be configured to detect either single ROI or multiple ROIs in each frame and the throughput of single detection mode is 5.5 times of multiple detection mode. 98.01% and 97.89% of MBs in ROIs can be detected in single and multiple detection modes respectively. Hardware cost of proposed architecture is only 4.68 k gates. Detection speed is 753 fps for CIF format video at the operation frequency of 200 MHz in multiple detection mode with power consumption of 0.47 mW. Compared with previous fast ROI detection algorithms for video coding application, the proposed architecture obtains more accurate and smaller ROI. Therefore, more efficient ROI based computation complexity and compression efficiency optimization can be implemented in H.264 encoder.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E94-C No.4 pp.401-410
- Publication Date
- 2011/04/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.E94.C.401
- Type of Manuscript
- Special Section PAPER (Special Section on Circuits and Design Techniques for Advanced Large Scale Integration)
- Category
Authors
Keyword
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Tianruo ZHANG, Chen LIU, Minghui WANG, Satoshi GOTO, "Multiple Region-of-Interest Based H.264 Encoder with a Detection Architecture in Macroblock Level Pipelining" in IEICE TRANSACTIONS on Electronics,
vol. E94-C, no. 4, pp. 401-410, April 2011, doi: 10.1587/transele.E94.C.401.
Abstract: This paper proposes a region-of-interest (ROI) based H.264 encoder and the VLSI architecture of the ROI detection algorithm. In ROI based video coding system, pre-processing unit to detect ROI should only introduce low computational complexity overhead due to the low power requirement. The Macroblocks (MBs) in ROIs are detected sequentially in the same order of H.264 encoding to satisfy the MB level pipelining of ROI detector and H.264 encoder. ROI detection is performed in a novel estimation-and-verification process with an ROI contour template. Proposed architecture can be configured to detect either single ROI or multiple ROIs in each frame and the throughput of single detection mode is 5.5 times of multiple detection mode. 98.01% and 97.89% of MBs in ROIs can be detected in single and multiple detection modes respectively. Hardware cost of proposed architecture is only 4.68 k gates. Detection speed is 753 fps for CIF format video at the operation frequency of 200 MHz in multiple detection mode with power consumption of 0.47 mW. Compared with previous fast ROI detection algorithms for video coding application, the proposed architecture obtains more accurate and smaller ROI. Therefore, more efficient ROI based computation complexity and compression efficiency optimization can be implemented in H.264 encoder.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E94.C.401/_p
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@ARTICLE{e94-c_4_401,
author={Tianruo ZHANG, Chen LIU, Minghui WANG, Satoshi GOTO, },
journal={IEICE TRANSACTIONS on Electronics},
title={Multiple Region-of-Interest Based H.264 Encoder with a Detection Architecture in Macroblock Level Pipelining},
year={2011},
volume={E94-C},
number={4},
pages={401-410},
abstract={This paper proposes a region-of-interest (ROI) based H.264 encoder and the VLSI architecture of the ROI detection algorithm. In ROI based video coding system, pre-processing unit to detect ROI should only introduce low computational complexity overhead due to the low power requirement. The Macroblocks (MBs) in ROIs are detected sequentially in the same order of H.264 encoding to satisfy the MB level pipelining of ROI detector and H.264 encoder. ROI detection is performed in a novel estimation-and-verification process with an ROI contour template. Proposed architecture can be configured to detect either single ROI or multiple ROIs in each frame and the throughput of single detection mode is 5.5 times of multiple detection mode. 98.01% and 97.89% of MBs in ROIs can be detected in single and multiple detection modes respectively. Hardware cost of proposed architecture is only 4.68 k gates. Detection speed is 753 fps for CIF format video at the operation frequency of 200 MHz in multiple detection mode with power consumption of 0.47 mW. Compared with previous fast ROI detection algorithms for video coding application, the proposed architecture obtains more accurate and smaller ROI. Therefore, more efficient ROI based computation complexity and compression efficiency optimization can be implemented in H.264 encoder.},
keywords={},
doi={10.1587/transele.E94.C.401},
ISSN={1745-1353},
month={April},}
Copy
TY - JOUR
TI - Multiple Region-of-Interest Based H.264 Encoder with a Detection Architecture in Macroblock Level Pipelining
T2 - IEICE TRANSACTIONS on Electronics
SP - 401
EP - 410
AU - Tianruo ZHANG
AU - Chen LIU
AU - Minghui WANG
AU - Satoshi GOTO
PY - 2011
DO - 10.1587/transele.E94.C.401
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E94-C
IS - 4
JA - IEICE TRANSACTIONS on Electronics
Y1 - April 2011
AB - This paper proposes a region-of-interest (ROI) based H.264 encoder and the VLSI architecture of the ROI detection algorithm. In ROI based video coding system, pre-processing unit to detect ROI should only introduce low computational complexity overhead due to the low power requirement. The Macroblocks (MBs) in ROIs are detected sequentially in the same order of H.264 encoding to satisfy the MB level pipelining of ROI detector and H.264 encoder. ROI detection is performed in a novel estimation-and-verification process with an ROI contour template. Proposed architecture can be configured to detect either single ROI or multiple ROIs in each frame and the throughput of single detection mode is 5.5 times of multiple detection mode. 98.01% and 97.89% of MBs in ROIs can be detected in single and multiple detection modes respectively. Hardware cost of proposed architecture is only 4.68 k gates. Detection speed is 753 fps for CIF format video at the operation frequency of 200 MHz in multiple detection mode with power consumption of 0.47 mW. Compared with previous fast ROI detection algorithms for video coding application, the proposed architecture obtains more accurate and smaller ROI. Therefore, more efficient ROI based computation complexity and compression efficiency optimization can be implemented in H.264 encoder.
ER -
English
