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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]
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Database: Engineering Source
Description
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]
ISSN:10473203
DOI:10.1016/j.jvcir.2024.104305