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MMVD AND SMVD COMBINATION WITH MOTION AND PREDICTION MODELS

机译:具有运动和预测模型的MMVD和SMVD组合

摘要

The general aspects extend motion modes, such as merge with motion vector difference, and symmetrical motion vector difference, to motion models beyond a simple translational model, for example in combination with merge and alternative temporal motion vector prediction modes. Embodiments extend the use of MMVD and SMVD motion vector coding tools to all the motion model derivation methods and temporal prediction methods that are supported in proposed video standards, so as to increase the overall compression performance. Particular embodiments describe combining MMVD or SMVD with the affine motion model, the ATMVP motion model, the planar motion model, the regressive motion field, the triangle-partition-based motion model, the GBI temporal prediction method, the LIC temporal prediction method and the Multi-hypothesis prediction method.
机译:一般方面将例如与运动向量差合并和对称运动向量差合并的运动模式扩展到超出简单平移模型的运动模型,例如与合并和替代时间运动向量预测模式结合。实施例将对MMVD和SMVD运动矢量编码工具的使用扩展到所提出的视频标准中支持的所有运动模型推导方法和时间预测方法,从而提高整体压缩性能。特定实施例描述了将MMVD或SMVD与仿射运动模型,ATMVP运动模型,平面运动模型,回归运动场,基于三角形划分的运动模型,GBI时间预测方法,LIC时间预测方法和多假设预测方法。

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