Generalized binary splits: A versatile partitioning scheme for block-based hybrid video coding

A. Wieckowski, Jackie Ma, Valeri George, H. Schwarz, D. Marpe, T. Wiegand
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引用次数: 4

Abstract

Block partitioning is the basis of every modern hybrid video coding standard. It specifies how the video pictures can be subdivided into blocks for prediction and residual coding. In H.265/HEVC, quad-tree partitioning is one of the key technologies allowing for flexible mode allocation and providing a substantial part of the gains over H.264/AVC. The current draft of the upcoming standard Versatile Video Coding (VVC) provides over 30% bit-rate savings over HEVC and almost one third of the gain is achieved by using a more flexible partitioning scheme than the quad-tree partitioning used in HEVC. In this paper, we describe a partitioning concept that generalizes many of the ideas developed during the exploration and early standardization phase of VVC. In fact, our method includes the VVC partitioning as well as many other state-of-the-art methods. The proposed method can be implemented in a fully configurable design. For instance, it can be configured to match the performance of VTM-1.0 at much faster runtime (69%) or it can be configured to obtain additional bit-rate savings of up to 3% by exploiting additional degrees of freedom.
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广义二进制分割:基于块的混合视频编码的通用分割方案
块分割是每个现代混合视频编码标准的基础。它规定了如何将视频图像细分为块进行预测和残差编码。在H.265/HEVC中,四叉树分区是允许灵活模式分配的关键技术之一,并提供了比H.264/AVC更大的收益。即将发布的通用视频编码(VVC)标准的当前草案比HEVC提供了超过30%的比特率节省,并且几乎三分之一的增益是通过使用比HEVC中使用的四叉树分区更灵活的分区方案实现的。在本文中,我们描述了一个划分概念,它概括了在VVC的探索和早期标准化阶段开发的许多想法。实际上,我们的方法包括VVC划分以及许多其他最先进的方法。该方法可以在完全可配置的设计中实现。例如,它可以配置为在更快的运行时(69%)下匹配VTM-1.0的性能,或者可以配置为通过利用额外的自由度来获得高达3%的额外比特率节省。
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Efficient Delivery of Very High Dynamic Range Compressed Imagery by Dynamic-Range-of-Interest Novel Coding Tools Based on Characteristics for Short Videos Extending Video Decoding Energy Models for 360° and HDR Video Formats in HEVC Generalized binary splits: A versatile partitioning scheme for block-based hybrid video coding An IBP-CNN Based Fast Block Partition For Intra Prediction
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