Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding
In order to effectively improve the quality of side information in distributed video coding, we propose a side information generation scheme based on a coefficient matrix improvement model. The discrete cosine transform coefficient bands of the Wyner–Ziv frame at the encoder side are divided into en...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/22/12/1427 |
| _version_ | 1797544314788642816 |
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| author | Wei Wang Jianhua Chen |
| author_facet | Wei Wang Jianhua Chen |
| author_sort | Wei Wang |
| collection | DOAJ |
| description | In order to effectively improve the quality of side information in distributed video coding, we propose a side information generation scheme based on a coefficient matrix improvement model. The discrete cosine transform coefficient bands of the Wyner–Ziv frame at the encoder side are divided into entropy coding coefficient bands and distributed video coding coefficient bands, and then the coefficients of entropy coding coefficient bands are sampled, which are divided into sampled coefficients and unsampled coefficients. For sampled coefficients, an adaptive arithmetic encoder is used for lossless compression. For unsampled coefficients and the coefficients of distributed video coding coefficient bands, the low density parity check accumulate encoder is used to calculate the parity bits, which are stored in the buffer and transmitted in small amount upon decoder request. At the decoder side, the optical flow method is used to generate the initial side information, and the initial side information is improved according to the sampled coefficients by using the coefficient matrix improvement model. The experimental results demonstrate that the proposed side information generation scheme based on the coefficient matrix improvement model can effectively improve the quality of side information, and the quality of the generated side information is improved by about 0.2–0.4 dB, thereby improving the overall performance of the distributed video coding system. |
| first_indexed | 2024-03-10T13:58:42Z |
| format | Article |
| id | doaj.art-00fc5e24914e4161ac881d2d44dd6230 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T13:58:42Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-00fc5e24914e4161ac881d2d44dd62302023-11-21T01:21:50ZengMDPI AGEntropy1099-43002020-12-012212142710.3390/e22121427Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video CodingWei Wang0Jianhua Chen1School of Information Science and Engineering, Yunnan University, Kunming 650000, ChinaSchool of Information Science and Engineering, Yunnan University, Kunming 650000, ChinaIn order to effectively improve the quality of side information in distributed video coding, we propose a side information generation scheme based on a coefficient matrix improvement model. The discrete cosine transform coefficient bands of the Wyner–Ziv frame at the encoder side are divided into entropy coding coefficient bands and distributed video coding coefficient bands, and then the coefficients of entropy coding coefficient bands are sampled, which are divided into sampled coefficients and unsampled coefficients. For sampled coefficients, an adaptive arithmetic encoder is used for lossless compression. For unsampled coefficients and the coefficients of distributed video coding coefficient bands, the low density parity check accumulate encoder is used to calculate the parity bits, which are stored in the buffer and transmitted in small amount upon decoder request. At the decoder side, the optical flow method is used to generate the initial side information, and the initial side information is improved according to the sampled coefficients by using the coefficient matrix improvement model. The experimental results demonstrate that the proposed side information generation scheme based on the coefficient matrix improvement model can effectively improve the quality of side information, and the quality of the generated side information is improved by about 0.2–0.4 dB, thereby improving the overall performance of the distributed video coding system.https://www.mdpi.com/1099-4300/22/12/1427distributed video codingside informationWyner–Ziv framearithmetic codingcoefficient matrix improvement model |
| spellingShingle | Wei Wang Jianhua Chen Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding Entropy distributed video coding side information Wyner–Ziv frame arithmetic coding coefficient matrix improvement model |
| title | Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding |
| title_full | Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding |
| title_fullStr | Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding |
| title_full_unstemmed | Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding |
| title_short | Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding |
| title_sort | side information generation scheme based on coefficient matrix improvement model in transform domain distributed video coding |
| topic | distributed video coding side information Wyner–Ziv frame arithmetic coding coefficient matrix improvement model |
| url | https://www.mdpi.com/1099-4300/22/12/1427 |
| work_keys_str_mv | AT weiwang sideinformationgenerationschemebasedoncoefficientmatriximprovementmodelintransformdomaindistributedvideocoding AT jianhuachen sideinformationgenerationschemebasedoncoefficientmatriximprovementmodelintransformdomaindistributedvideocoding |