Deep joint source-channel coding for wireless video transmission with asymmetric context.
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| Title: | Deep joint source-channel coding for wireless video transmission with asymmetric context. |
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| Authors: | Chen, Xuechen1 (AUTHOR) chenxuec@csu.edu.cn, Li, Junting2 (AUTHOR) 234712145@csu.edu.cn, Chen, Chuang3 (AUTHOR) chenchuang34@huawei.com, Lin, Hairong1 (AUTHOR) haironglin@csu.edu.cn, Li, Yishen1 (AUTHOR) liyishen016@gmail.com |
| Source: | Multimedia Systems. Apr2026, Vol. 32 Issue 2, p1-21. 21p. |
| Subjects: | Video compression, Channel coding, Radio transmitters & transmission |
| Abstract: | In this paper, we propose a high-efficiency deep joint source-channel coding (JSCC) method for video transmission based on conditional coding with asymmetric context. The conditional coding-based neural video compression requires to predict the encoding and decoding conditions from the same context which includes the same reconstructed frames. However in JSCC schemes which fall into pseudo-analog transmission, the encoder cannot infer the same reconstructed frames as the decoder even a pipeline of the simulated transmission is constructed at the encoder. In the proposed method, without such a pipeline, we guide and design neural networks to learn encoding and decoding conditions from asymmetric contexts. Additionally, we introduce feature propagation, which allows intermediate features to be independently propagated at the encoder and decoder and help to generate conditions, enabling the framework to greatly leverage temporal correlation while mitigating the problem of error accumulation. To further exploit the performance of the proposed transmission framework, we implement content-adaptive coding which achieves variable bandwidth transmission using entropy models and masking mechanisms. Experimental results demonstrate that our method outperforms existing deep video transmission frameworks in terms of performance and effectively mitigates the error accumulation. By mitigating the error accumulation, our schemes can reduce the frequency of inserting intra-frame coding modes, further enhancing performance. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Systems is the property of Springer Nature 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191288873 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep joint source-channel coding for wireless video transmission with asymmetric context. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Xuechen%22">Chen, Xuechen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chenxuec@csu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Junting%22">Li, Junting</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> 234712145@csu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Chuang%22">Chen, Chuang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> chenchuang34@huawei.com</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Hairong%22">Lin, Hairong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> haironglin@csu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Yishen%22">Li, Yishen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liyishen016@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Systems%22">Multimedia Systems</searchLink>. Apr2026, Vol. 32 Issue 2, p1-21. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Video+compression%22">Video compression</searchLink><br /><searchLink fieldCode="DE" term="%22Channel+coding%22">Channel coding</searchLink><br /><searchLink fieldCode="DE" term="%22Radio+transmitters+%26+transmission%22">Radio transmitters & transmission</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we propose a high-efficiency deep joint source-channel coding (JSCC) method for video transmission based on conditional coding with asymmetric context. The conditional coding-based neural video compression requires to predict the encoding and decoding conditions from the same context which includes the same reconstructed frames. However in JSCC schemes which fall into pseudo-analog transmission, the encoder cannot infer the same reconstructed frames as the decoder even a pipeline of the simulated transmission is constructed at the encoder. In the proposed method, without such a pipeline, we guide and design neural networks to learn encoding and decoding conditions from asymmetric contexts. Additionally, we introduce feature propagation, which allows intermediate features to be independently propagated at the encoder and decoder and help to generate conditions, enabling the framework to greatly leverage temporal correlation while mitigating the problem of error accumulation. To further exploit the performance of the proposed transmission framework, we implement content-adaptive coding which achieves variable bandwidth transmission using entropy models and masking mechanisms. Experimental results demonstrate that our method outperforms existing deep video transmission frameworks in terms of performance and effectively mitigates the error accumulation. By mitigating the error accumulation, our schemes can reduce the frequency of inserting intra-frame coding modes, further enhancing performance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Systems is the property of Springer Nature 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: 10.1007/s00530-025-02177-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Subjects: – SubjectFull: Video compression Type: general – SubjectFull: Channel coding Type: general – SubjectFull: Radio transmitters & transmission Type: general Titles: – TitleFull: Deep joint source-channel coding for wireless video transmission with asymmetric context. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Xuechen – PersonEntity: Name: NameFull: Li, Junting – PersonEntity: Name: NameFull: Chen, Chuang – PersonEntity: Name: NameFull: Lin, Hairong – PersonEntity: Name: NameFull: Li, Yishen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09424962 Numbering: – Type: volume Value: 32 – Type: issue Value: 2 Titles: – TitleFull: Multimedia Systems Type: main |
| ResultId | 1 |
