Context-based adaptive arithmetic coding in time and frequency domain for the lossless compression of audio coding parameters at variable rate

This paper presents a novel lossless compression technique of the context-based adaptive arithmetic coding which can be used to further compress the quantized parameters in audio codec. The key feature of the new technique is the combination of the context model in time domain and frequency domain w...

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Vydané v:	EURASIP journal on audio, speech, and music processing Ročník 2013; číslo 1
Hlavní autori:	Wang, Jing, Ji, Xuan, Zhao, Shenghui, Xie, Xiang, Kuang, Jingming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 21.05.2013
Predmet:	Acoustics Engineering Engineering Acoustics Mathematics in Music Signal,Image and Speech Processing Lossless compression Variable rate MDCT Time-frequency context Adaptive arithmetic coding
ISSN:	1687-4722, 1687-4722
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Abstract	This paper presents a novel lossless compression technique of the context-based adaptive arithmetic coding which can be used to further compress the quantized parameters in audio codec. The key feature of the new technique is the combination of the context model in time domain and frequency domain which is called time-frequency context model. It is used for the lossless compression of audio coding parameters such as the quantized modified discrete cosine transform (MDCT) coefficients and the frequency band gains in ITU-T G.719 audio codec. With the proposed adaptive arithmetic coding, a high degree of adaptation and redundancy reduction can be achieved. In addition, an efficient variable rate algorithm is employed, which is designed based on both the baseline entropy coding method of G.719 and the proposed adaptive arithmetic coding technique. Experiments show that the proposed technique is of higher efficiency compared with the conventional Huffman coding and the common adaptive arithmetic coding when used in the lossless compression of audio coding parameters. For a set of audio samples used in the G.719 application, the proposed technique achieves an average bit rate saving of 7.2% at low bit rate coding mode while producing audio quality equal to that of the original G.719.
AbstractList	This paper presents a novel lossless compression technique of the context-based adaptive arithmetic coding which can be used to further compress the quantized parameters in audio codec. The key feature of the new technique is the combination of the context model in time domain and frequency domain which is called time-frequency context model. It is used for the lossless compression of audio coding parameters such as the quantized modified discrete cosine transform (MDCT) coefficients and the frequency band gains in ITU-T G.719 audio codec. With the proposed adaptive arithmetic coding, a high degree of adaptation and redundancy reduction can be achieved. In addition, an efficient variable rate algorithm is employed, which is designed based on both the baseline entropy coding method of G.719 and the proposed adaptive arithmetic coding technique. Experiments show that the proposed technique is of higher efficiency compared with the conventional Huffman coding and the common adaptive arithmetic coding when used in the lossless compression of audio coding parameters. For a set of audio samples used in the G.719 application, the proposed technique achieves an average bit rate saving of 7.2% at low bit rate coding mode while producing audio quality equal to that of the original G.719.
ArticleNumber	9
Author	Zhao, Shenghui Kuang, Jingming Ji, Xuan Xie, Xiang Wang, Jing
Author_xml	– sequence: 1 givenname: Jing surname: Wang fullname: Wang, Jing email: wangjing@bit.edu.cn organization: Research Institute of Communication Technology (RICT), School of Information and Electronic Engineering, Beijing Institute of Technology – sequence: 2 givenname: Xuan surname: Ji fullname: Ji, Xuan organization: Research Institute of Communication Technology (RICT), School of Information and Electronic Engineering, Beijing Institute of Technology – sequence: 3 givenname: Shenghui surname: Zhao fullname: Zhao, Shenghui organization: Research Institute of Communication Technology (RICT), School of Information and Electronic Engineering, Beijing Institute of Technology – sequence: 4 givenname: Xiang surname: Xie fullname: Xie, Xiang organization: Research Institute of Communication Technology (RICT), School of Information and Electronic Engineering, Beijing Institute of Technology – sequence: 5 givenname: Jingming surname: Kuang fullname: Kuang, Jingming organization: Research Institute of Communication Technology (RICT), School of Information and Electronic Engineering, Beijing Institute of Technology
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Cites_doi	10.1109/89.554774 10.1109/JRPROC.1952.273898 10.1109/26.380027 10.1147/rd.282.0135 10.1002/j.1538-7305.1948.tb01338.x 10.1109/LCOMM.2002.807424 10.1109/MCOM.2009.5273819 10.1109/TCSVT.2003.815173 10.1145/214762.214771 10.1109/TSP.2007.892710 10.1109/ASPAA.2009.5346487
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Copyright	Wang et al.; licensee Springer. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright_xml	– notice: Wang et al.; licensee Springer. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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SubjectTerms	Acoustics Engineering Engineering Acoustics Mathematics in Music Signal,Image and Speech Processing
Title	Context-based adaptive arithmetic coding in time and frequency domain for the lossless compression of audio coding parameters at variable rate
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