A Target Bit Matching Algorithm for MPEG-2 Video Coding
Summary :
The MPEG-2 Test Model 5 (TM5) algorithm describes a rate control method which consists of three steps: bit allocation, rate control and modulation. In TM5, however, buffer overflow and picture quality degradation may occur at the end of the GOP because the target bits and the actual coding bits for each picture do not match well. This paper presents a new bit rate control algorithm for matching the target and the actual coding bits based on accurate bit allocation. The key idea of the proposed algorithm is to determine quantization parameters which enable us to generate the actual coding bits close to the target bits for each picture, while improving the picture quality. The proposed algorithm exploits the relationship between the number of the actual coding bits and the number of the estimated bits of the previous macroblock within a picture.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E87-B No.11 pp.3331-3337
- Publication Date
- 2004/11/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Multimedia Systems for Communications" Multimedia Systems for Communications
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Jeong-Woo LEE, Yo-Sung HO, "A Target Bit Matching Algorithm for MPEG-2 Video Coding" in IEICE TRANSACTIONS on Communications,
vol. E87-B, no. 11, pp. 3331-3337, November 2004, doi: .
Abstract: The MPEG-2 Test Model 5 (TM5) algorithm describes a rate control method which consists of three steps: bit allocation, rate control and modulation. In TM5, however, buffer overflow and picture quality degradation may occur at the end of the GOP because the target bits and the actual coding bits for each picture do not match well. This paper presents a new bit rate control algorithm for matching the target and the actual coding bits based on accurate bit allocation. The key idea of the proposed algorithm is to determine quantization parameters which enable us to generate the actual coding bits close to the target bits for each picture, while improving the picture quality. The proposed algorithm exploits the relationship between the number of the actual coding bits and the number of the estimated bits of the previous macroblock within a picture.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e87-b_11_3331/_p
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@ARTICLE{e87-b_11_3331,
author={Jeong-Woo LEE, Yo-Sung HO, },
journal={IEICE TRANSACTIONS on Communications},
title={A Target Bit Matching Algorithm for MPEG-2 Video Coding},
year={2004},
volume={E87-B},
number={11},
pages={3331-3337},
abstract={The MPEG-2 Test Model 5 (TM5) algorithm describes a rate control method which consists of three steps: bit allocation, rate control and modulation. In TM5, however, buffer overflow and picture quality degradation may occur at the end of the GOP because the target bits and the actual coding bits for each picture do not match well. This paper presents a new bit rate control algorithm for matching the target and the actual coding bits based on accurate bit allocation. The key idea of the proposed algorithm is to determine quantization parameters which enable us to generate the actual coding bits close to the target bits for each picture, while improving the picture quality. The proposed algorithm exploits the relationship between the number of the actual coding bits and the number of the estimated bits of the previous macroblock within a picture.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A Target Bit Matching Algorithm for MPEG-2 Video Coding
T2 - IEICE TRANSACTIONS on Communications
SP - 3331
EP - 3337
AU - Jeong-Woo LEE
AU - Yo-Sung HO
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2004
AB - The MPEG-2 Test Model 5 (TM5) algorithm describes a rate control method which consists of three steps: bit allocation, rate control and modulation. In TM5, however, buffer overflow and picture quality degradation may occur at the end of the GOP because the target bits and the actual coding bits for each picture do not match well. This paper presents a new bit rate control algorithm for matching the target and the actual coding bits based on accurate bit allocation. The key idea of the proposed algorithm is to determine quantization parameters which enable us to generate the actual coding bits close to the target bits for each picture, while improving the picture quality. The proposed algorithm exploits the relationship between the number of the actual coding bits and the number of the estimated bits of the previous macroblock within a picture.
ER -
English
