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A Bit Allocation Method Based on Inter-View Dependency and Spatio-Temporal Correlation for Multi-View Texture Video Coding.

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Title: A Bit Allocation Method Based on Inter-View Dependency and Spatio-Temporal Correlation for Multi-View Texture Video Coding.
Authors: Li, Tiansong1, Yu, Li1 hustlyu@hust.edu.cn, Wang, Hongkui1, Kuang, Zhuo1
Source: IEEE Transactions on Broadcasting. Mar2021, Vol. 67 Issue 1, p159-173. 15p.
Subjects: Video coding, Textures, Streaming media, Pedestrians
Abstract: Due to the limited storage capacity and network bandwidth, an efficient rate control (RC) algorithm becomes more and more critical for multi-view video coding (MVC). Based on inter-view dependency and spatio-temporal correlation, a novel bit allocation method for multi-view texture video coding is proposed in this article. Firstly, considering that the distortion in the base view (BV) is directly transmitted to the dependent view (DV) by inter-view skip mode, a joint multi-view RD model is built based on the inter-view dependency. Based on the proposed joint multi-view RD model, a precise power model is derived to represent the target bitrates relationship between the BV and the DV. Secondly, since the P frame in the DV (P-DV) is mainly predicted from the corresponding I frame in the BV (I-BV) by disparity compensated prediction (DCP), the constant proportional relationship between the ratio of the average bitrates of the P-DV to the corresponding I-BV and the ratio of the total bitrates of the DV to the BV is discovered. Based on this discovery, a novel linear model is developed to assign the target bitrates of the P-DV. Finally, considering the spatio-temporal correlation, a new parameter prediction method is proposed for the R- $\lambda $ model in coding tree unit (CTU) level. Extensive experimental results show that the proposed overall method outperforms other state-of-the-art algorithms in terms of RD performance. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Broadcasting is the property of IEEE 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.)
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  Label: Title
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  Data: A Bit Allocation Method Based on Inter-View Dependency and Spatio-Temporal Correlation for Multi-View Texture Video Coding.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Tiansong%22">Li, Tiansong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yu%2C+Li%22">Yu, Li</searchLink><relatesTo>1</relatesTo><i> hustlyu@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Hongkui%22">Wang, Hongkui</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kuang%2C+Zhuo%22">Kuang, Zhuo</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Broadcasting%22">IEEE Transactions on Broadcasting</searchLink>. Mar2021, Vol. 67 Issue 1, p159-173. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Video+coding%22">Video coding</searchLink><br /><searchLink fieldCode="DE" term="%22Textures%22">Textures</searchLink><br /><searchLink fieldCode="DE" term="%22Streaming+media%22">Streaming media</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrians%22">Pedestrians</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Due to the limited storage capacity and network bandwidth, an efficient rate control (RC) algorithm becomes more and more critical for multi-view video coding (MVC). Based on inter-view dependency and spatio-temporal correlation, a novel bit allocation method for multi-view texture video coding is proposed in this article. Firstly, considering that the distortion in the base view (BV) is directly transmitted to the dependent view (DV) by inter-view skip mode, a joint multi-view RD model is built based on the inter-view dependency. Based on the proposed joint multi-view RD model, a precise power model is derived to represent the target bitrates relationship between the BV and the DV. Secondly, since the P frame in the DV (P-DV) is mainly predicted from the corresponding I frame in the BV (I-BV) by disparity compensated prediction (DCP), the constant proportional relationship between the ratio of the average bitrates of the P-DV to the corresponding I-BV and the ratio of the total bitrates of the DV to the BV is discovered. Based on this discovery, a novel linear model is developed to assign the target bitrates of the P-DV. Finally, considering the spatio-temporal correlation, a new parameter prediction method is proposed for the R- $\lambda $ model in coding tree unit (CTU) level. Extensive experimental results show that the proposed overall method outperforms other state-of-the-art algorithms in terms of RD performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Broadcasting is the property of IEEE 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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      – Type: doi
        Value: 10.1109/TBC.2020.3028340
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 159
    Subjects:
      – SubjectFull: Video coding
        Type: general
      – SubjectFull: Textures
        Type: general
      – SubjectFull: Streaming media
        Type: general
      – SubjectFull: Pedestrians
        Type: general
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      – TitleFull: A Bit Allocation Method Based on Inter-View Dependency and Spatio-Temporal Correlation for Multi-View Texture Video Coding.
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            NameFull: Yu, Li
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            NameFull: Wang, Hongkui
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            – D: 01
              M: 03
              Text: Mar2021
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              Y: 2021
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