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A fast intra CU partition algorithm in Versatile Video Coding for 360-degree video.

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Title: A fast intra CU partition algorithm in Versatile Video Coding for 360-degree video.
Authors: Chen, Yan1, Li, Tiansong1 tiansongli@cqnu.edu.cn, Liu, Haokun1, Cui, Shaoguo1, Yu, Li2, Wu, Kejun3, Wang, Hongkui4
Source: Journal of Visual Communication & Image Representation. Oct2024, Vol. 104, pN.PAG-N.PAG. 1p.
Subjects: Video coding, Video codecs, Video compression, Image compression, Data compression
Abstract: Due to the high resolution of 360-degree video, it needs more time to compress using the latest Versatile Video Coding (VVC) compared to traditional video. Meanwhile, the introduction of quad-tree plus multi-type tree (QTMT) in VVC enhances compression performance, but the coding complexity also increases significantly. This paper proposes a fast intra coding unit (CU) partition algorithm for 360-degree video. First, we create a large-scale CU partition mode (CPM) dataset. Next, we design an adaptive CU partition decision network (ACPD-Net) based on adaptive QP, which can simultaneously predict the optimal CPM of four 32 × 32 sub-CUs from the global texture information of 64 × 64 CU. Then, based on the partitioning characteristics of the mapped 360-degree video, the partition structure of 32 × 32 CU is simplified from QTMT to QTBT. The experimental findings indicate that the proposed method can decrease the complexity of intra-frame coding by 61.10% and increase BDBR by 1.99% on average. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Visual Communication & Image Representation is the property of Academic Press Inc. 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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DbLabel: Engineering Source
An: 180631103
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A fast intra CU partition algorithm in Versatile Video Coding for 360-degree video.
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  Data: <searchLink fieldCode="DE" term="%22Video+coding%22">Video coding</searchLink><br /><searchLink fieldCode="DE" term="%22Video+codecs%22">Video codecs</searchLink><br /><searchLink fieldCode="DE" term="%22Video+compression%22">Video compression</searchLink><br /><searchLink fieldCode="DE" term="%22Image+compression%22">Image compression</searchLink><br /><searchLink fieldCode="DE" term="%22Data+compression%22">Data compression</searchLink>
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  Data: Due to the high resolution of 360-degree video, it needs more time to compress using the latest Versatile Video Coding (VVC) compared to traditional video. Meanwhile, the introduction of quad-tree plus multi-type tree (QTMT) in VVC enhances compression performance, but the coding complexity also increases significantly. This paper proposes a fast intra coding unit (CU) partition algorithm for 360-degree video. First, we create a large-scale CU partition mode (CPM) dataset. Next, we design an adaptive CU partition decision network (ACPD-Net) based on adaptive QP, which can simultaneously predict the optimal CPM of four 32 × 32 sub-CUs from the global texture information of 64 × 64 CU. Then, based on the partitioning characteristics of the mapped 360-degree video, the partition structure of 32 × 32 CU is simplified from QTMT to QTBT. The experimental findings indicate that the proposed method can decrease the complexity of intra-frame coding by 61.10% and increase BDBR by 1.99% on average. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Visual Communication & Image Representation is the property of Academic Press Inc. 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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        Value: 10.1016/j.jvcir.2024.104305
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        Text: English
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      – SubjectFull: Video coding
        Type: general
      – SubjectFull: Video codecs
        Type: general
      – SubjectFull: Video compression
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              Text: Oct2024
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              Y: 2024
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