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Adaptive quantization for perceptual video coding

机译:感知视频编码的自适应量化

摘要

In one embodiment, a perceptual video coder obtains local video content, and calculates a feature index for each of one or more features of a video unit of the local video content. Each feature index is then directly mapped to a delta quantization parameter (QP) using a linear fractional model that explicitly establishes a relation between the delta QP and a Human Visual System (HVS) insensitivity index, e.g., where the delta QP is set based on a comparison between a local strength of the HVS insensitivity index and an overall strength of a particular frame of the local video content. Accordingly, a QP of an adaptive quantization may be refined by adding to it each delta QP, such that adaptive quantization may be performed on the video unit based on the refined QP.
机译:在一个实施例中,感知视频编码器获得本地视频内容,并为本地视频内容的视频单元的一个或多个特征中的每个特征计算特征索引。然后,使用线性分数模型将每个特征索引直接映射到增量量化参数(QP),该模型明确建立了增量QP和人类视觉系统(HVS)不敏感度索引之间的关系,例如,基于HVS不敏感指数的局部强度与局部视频内容的特定帧的整体强度之间的比较。因此,可以通过向其添加每个增量QP来细化自适应量化的QP,从而可以基于细化的QP对视频单元执行自适应量化。

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