Efficient Single-Pass Rate Control for Video Coding Based on Motion Estimation Statistics
Summary :
A single-pass rate control algorithm based on motion estimation error statistics is presented. The algorithm consists of two steps. The first step deals with the target bit allocation for each frame. The complexity measure which determines the target bit allocation is calculated by using the motion estimation error statistics. The second step is to compute the bit spending profile within a frame. A nonlinear profile based on motion estimation statistics is used to allocate bits for each macroblock more efficiently. Experimental results show that the performance in terms of PSNR is significantly improved over a conventional rate control algorithm. Compared to the conventional algorithm, the new algorithm has little added complexity because it uses existing information from motion estimation.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.2 pp.681-684
- Publication Date
- 2008/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.2.681
- Type of Manuscript
- LETTER
- Category
- Multimedia Systems for Communications
Authors
Keyword
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Jungwoo LEE, "Efficient Single-Pass Rate Control for Video Coding Based on Motion Estimation Statistics" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 2, pp. 681-684, February 2008, doi: 10.1093/ietcom/e91-b.2.681.
Abstract: A single-pass rate control algorithm based on motion estimation error statistics is presented. The algorithm consists of two steps. The first step deals with the target bit allocation for each frame. The complexity measure which determines the target bit allocation is calculated by using the motion estimation error statistics. The second step is to compute the bit spending profile within a frame. A nonlinear profile based on motion estimation statistics is used to allocate bits for each macroblock more efficiently. Experimental results show that the performance in terms of PSNR is significantly improved over a conventional rate control algorithm. Compared to the conventional algorithm, the new algorithm has little added complexity because it uses existing information from motion estimation.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.2.681/_p
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@ARTICLE{e91-b_2_681,
author={Jungwoo LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Efficient Single-Pass Rate Control for Video Coding Based on Motion Estimation Statistics},
year={2008},
volume={E91-B},
number={2},
pages={681-684},
abstract={A single-pass rate control algorithm based on motion estimation error statistics is presented. The algorithm consists of two steps. The first step deals with the target bit allocation for each frame. The complexity measure which determines the target bit allocation is calculated by using the motion estimation error statistics. The second step is to compute the bit spending profile within a frame. A nonlinear profile based on motion estimation statistics is used to allocate bits for each macroblock more efficiently. Experimental results show that the performance in terms of PSNR is significantly improved over a conventional rate control algorithm. Compared to the conventional algorithm, the new algorithm has little added complexity because it uses existing information from motion estimation.},
keywords={},
doi={10.1093/ietcom/e91-b.2.681},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Efficient Single-Pass Rate Control for Video Coding Based on Motion Estimation Statistics
T2 - IEICE TRANSACTIONS on Communications
SP - 681
EP - 684
AU - Jungwoo LEE
PY - 2008
DO - 10.1093/ietcom/e91-b.2.681
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2008
AB - A single-pass rate control algorithm based on motion estimation error statistics is presented. The algorithm consists of two steps. The first step deals with the target bit allocation for each frame. The complexity measure which determines the target bit allocation is calculated by using the motion estimation error statistics. The second step is to compute the bit spending profile within a frame. A nonlinear profile based on motion estimation statistics is used to allocate bits for each macroblock more efficiently. Experimental results show that the performance in terms of PSNR is significantly improved over a conventional rate control algorithm. Compared to the conventional algorithm, the new algorithm has little added complexity because it uses existing information from motion estimation.
ER -
English
