A Novel Rate Control Scheme for Low Delay Video Communication of H.264/AVC Standard
This paper presents a novel rate control scheme for low delay video communication of H.264/AVC standard. A switched mean-absolute-difference (MAD) prediction scheme is introduced to enhance the traditional temporal MAD prediction model, which is not suitable for predicting abrupt MAD fluctuations. O...
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| Veröffentlicht in: | IEEE transactions on circuits and systems for video technology Jg. 17; H. 1; S. 68 - 78 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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New York, NY
IEEE
01.01.2007
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1051-8215, 1558-2205 |
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| Abstract | This paper presents a novel rate control scheme for low delay video communication of H.264/AVC standard. A switched mean-absolute-difference (MAD) prediction scheme is introduced to enhance the traditional temporal MAD prediction model, which is not suitable for predicting abrupt MAD fluctuations. Our new model could reduce the MAD prediction error by up to 69%. Furthermore, an accurate linear rate-quantization (R-Q) model is also formulated to describe the relationship between the total amount of bits for both texture and nontexture information and the quantization parameter (QP), so that the negative effect caused by the inaccurate estimation of nontexture bits is removed. By exploring the relationship between peak signal-to-noise ratio and QP value, the proposed linear R-Q model could further optimize QP calculation at the macroblock level. When compared with the rate control scheme JVT-G012 which is adopted by the latest JVT H.264/AVC reference model JM9.8, the proposed rate control algorithm could reduce the mismatch between actual bits and target ones by up to 75%. To meet the low delay requirement, the buffer is better controlled to prevent overflowing and underflowing. The average luminance PSNR of reconstructed video is increased by up to 1.13 dB at low bit rates, and the subjective video quality is also improved |
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| AbstractList | This paper presents a novel rate control scheme for low delay video communication of H.264/AVC standard. A switched mean-absolute-difference (MAD) prediction scheme is introduced to enhance the traditional temporal MAD prediction model, which is not suitable for predicting abrupt MAD fluctuations. Our new model could reduce the MAD prediction error by up to 69%. Furthermore, an accurate linear rate-quantization (R-Q) model is also formulated to describe the relationship between the total amount of bits for both texture and nontexture information and the quantization parameter (QP), so that the negative effect caused by the inaccurate estimation of nontexture bits is removed. By exploring the relationship between peak signal-to-noise ratio and QP value, the proposed linear R-Q model could further optimize QP calculation at the macroblock level. When compared with the rate control scheme JVT-G012 which is adopted by the latest JVT H.264/AVC reference model JM9.8, the proposed rate control algorithm could reduce the mismatch between actual bits and target ones by up to 75%. To meet the low delay requirement, the buffer is better controlled to prevent overflowing and underflowing. The average luminance PSNR of reconstructed video is increased by up to 1.13 dB at low bit rates, and the subjective video quality is also improved This paper presents a novel rate control scheme for low delay video communication of H.264/AVC standard. A switched mean-absolute-difference (MAD) prediction scheme is introduced to enhance the traditional temporal MAD prediction model, which is not suitable for predicting abrupt MAD fluctuations. Our new model could reduce the MAD prediction error by up to 69%. Furthermore, an accurate linear rate-quantization (R-Q) model is also formulated to describe the relationship between the total amount of bits for both texture and nontexture information and the quantization parameter (QP), so that the negative effect caused by the inaccurate estimation of nontexture bits is removed. By exploring the relationship between peak signal-to- noise ratio and QP value, the proposed linear R-Q model could further optimize QP calculation at the macroblock level. When compared with the rate control scheme JVT-G012 which is adopted by the latest JVT H.264/AVC reference model JM9.8, the proposed rate control algorithm could reduce the mismatch between actual bits and target ones by up to 75%. To meet the low delay requirement, the buffer is better controlled to prevent overflowing and underflowing. The average luminance PSNR of reconstructed video is increased by up to 1.13 dB at low bit rates, and the subjective video quality is also improved. Furthermore, an accurate linear rate-quantization (R-Q) model is also formulated to describe the relationship between the total amount of bits for both texture and nontexture information and the quantization parameter (QP), so that the negative effect caused by the inaccurate estimation of nontexture bits is removed. |
| Author | Yang Liu Li, Z.G. Yeng Chai Soh |
| Author_xml | – sequence: 1 surname: Yang Liu fullname: Yang Liu organization: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ – sequence: 2 givenname: Z.G. surname: Li fullname: Li, Z.G. – sequence: 3 surname: Yeng Chai Soh fullname: Yeng Chai Soh |
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| Keywords | Video coding Error estimation Texture Videoconference Linear model Video signal processing Signal quantization Traffic control Delay time Low bit rate switched MAD prediction model linear R-Q model Flow rate regulation Teletraffic Quantum effect Buffer system H.264/AVC Algorithm Mismatching Switching Subjective evaluation Bit allocation Image quality Reference model Luminance buffer regulation Traffic management rate control Signal to noise ratio |
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| SubjectTerms | Applied sciences Automatic voltage control Bit allocation Broadcasting. Videocommunications. Audiovisual buffer regulation Communication standards Communication switching Communication system control Control algorithms Delay Exact sciences and technology Fluctuations H.264/AVC Image processing Information, signal and communications theory linear R-Q model Luminance Mathematical models Predictive models PSNR Quadratic programming Quantization rate control Sampling, quantization Signal and communications theory Signal processing Studies Surface layer switched MAD prediction model Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Texture Video communication Videocommunications (networks and services) |
| Title | A Novel Rate Control Scheme for Low Delay Video Communication of H.264/AVC Standard |
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