Improved Adaptive Transform for Residue in H.264/AVC Lossless Video Coding.
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| Title: | Improved Adaptive Transform for Residue in H.264/AVC Lossless Video Coding. |
|---|---|
| Authors: | Ou, Xianfeng1 gyzhang@hnist.edu.cn, Zhang, Guoyun2, Longyuan, Guo2, Wu, Jianhui2, Tu, Bing2, Yang, Long2 ylong_321@126.com |
| Source: | Automatika: Journal for Control, Measurement, Electronics, Computing & Communications. Oct-Dec2016, Vol. 57 Issue 4, p1045-1055. 11p. |
| Subjects: | Video coding, Decorrelation (Signal processing), Signal quantization, Entropy (Information theory), Matrices (Mathematics) |
| Abstract: | The H.264/AVC was designed mainly for lossy video coding, the lossless coding of H.264 use bypass mode for DCT and quantization. Although sample-by-sample DPCM improves performance of coding, the benět is limited in intra. In this paper, a new adaptive transform is proposed based on the character of 4×4 block residual coefčient’s distribution, which can be used both in intra and inter coding. The greatest strength of the proposed transform is the decorrelation without in ation versus dynamic range of input matrix. Due to the random distribution of residual coefčcients, a specič transform is hard to play a positive impact on them. Therefore, several transforms of different directions will be implemented simultaneously, and the most efčient one will be determined by a proposed mechanism. Then, by means of statistic method, a new scan order is designed for CAVLC entropy encoder, cooperating with corresponding transform. The simulation results show that based on the fast algorithm of proposed method, the bit saving achieves about 7.41% bit saving in intra coding and 10.47% in inter, compared with H.264-LS. [ABSTRACT FROM PUBLISHER] |
| Copyright of Automatika: Journal for Control, Measurement, Electronics, Computing & Communications is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 127676238 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improved Adaptive Transform for Residue in H.264/AVC Lossless Video Coding. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ou%2C+Xianfeng%22">Ou, Xianfeng</searchLink><relatesTo>1</relatesTo><i> gyzhang@hnist.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Guoyun%22">Zhang, Guoyun</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Longyuan%2C+Guo%22">Longyuan, Guo</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wu%2C+Jianhui%22">Wu, Jianhui</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Tu%2C+Bing%22">Tu, Bing</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Yang%2C+Long%22">Yang, Long</searchLink><relatesTo>2</relatesTo><i> ylong_321@126.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Automatika%3A+Journal+for+Control%2C+Measurement%2C+Electronics%2C+Computing+%26+Communications%22">Automatika: Journal for Control, Measurement, Electronics, Computing & Communications</searchLink>. Oct-Dec2016, Vol. 57 Issue 4, p1045-1055. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Video+coding%22">Video coding</searchLink><br /><searchLink fieldCode="DE" term="%22Decorrelation+%28Signal+processing%29%22">Decorrelation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+quantization%22">Signal quantization</searchLink><br /><searchLink fieldCode="DE" term="%22Entropy+%28Information+theory%29%22">Entropy (Information theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Matrices+%28Mathematics%29%22">Matrices (Mathematics)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The H.264/AVC was designed mainly for lossy video coding, the lossless coding of H.264 use bypass mode for DCT and quantization. Although sample-by-sample DPCM improves performance of coding, the benět is limited in intra. In this paper, a new adaptive transform is proposed based on the character of 4×4 block residual coefčient’s distribution, which can be used both in intra and inter coding. The greatest strength of the proposed transform is the decorrelation without in ation versus dynamic range of input matrix. Due to the random distribution of residual coefčcients, a specič transform is hard to play a positive impact on them. Therefore, several transforms of different directions will be implemented simultaneously, and the most efčient one will be determined by a proposed mechanism. Then, by means of statistic method, a new scan order is designed for CAVLC entropy encoder, cooperating with corresponding transform. The simulation results show that based on the fast algorithm of proposed method, the bit saving achieves about 7.41% bit saving in intra coding and 10.47% in inter, compared with H.264-LS. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Automatika: Journal for Control, Measurement, Electronics, Computing & Communications is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.7305/automatika.2017.12.1600 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1045 Subjects: – SubjectFull: Video coding Type: general – SubjectFull: Decorrelation (Signal processing) Type: general – SubjectFull: Signal quantization Type: general – SubjectFull: Entropy (Information theory) Type: general – SubjectFull: Matrices (Mathematics) Type: general Titles: – TitleFull: Improved Adaptive Transform for Residue in H.264/AVC Lossless Video Coding. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ou, Xianfeng – PersonEntity: Name: NameFull: Zhang, Guoyun – PersonEntity: Name: NameFull: Longyuan, Guo – PersonEntity: Name: NameFull: Wu, Jianhui – PersonEntity: Name: NameFull: Tu, Bing – PersonEntity: Name: NameFull: Yang, Long IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct-Dec2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 00051144 Numbering: – Type: volume Value: 57 – Type: issue Value: 4 Titles: – TitleFull: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications Type: main |
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