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    • 7. 发明授权
    • Quality assessment for images that have extended dynamic ranges or wide color gamuts
    • 具有扩展动态范围或宽色域的图像的质量评估
    • US08743291B2
    • 2014-06-03
    • US14009773
    • 2012-04-12
    • Zhen LiWalter Gish
    • Zhen LiWalter Gish
    • H04N9/64H04N9/67H04N11/20G09G5/02
    • H04N9/64G06T5/009H04N9/67H04N17/02
    • A first video signal is accessed, and represented in a first color space with a first color gamut, related to a first dynamic range. A second video signal is accessed, and represented in a second color space of a second color gamut, related to a second dynamic range. The first accessed video signal is converted to a video signal represented in the second color space. At least two color-related components of the converted video signal are mapped over the second dynamic range. The mapped video signal and the second accessed video signal are processed. Based on the processing, a difference is measured between the processed first and second video signals. A visual quality characteristic relates to a magnitude of the measured difference between the processed first and second video signals. The visual quality characteristic is assessed based, at least in part, on the measurement of the difference.
    • 访问第一视频信号,并且在与第一动态范围有关的具有第一色域的第一颜色空间中表示。 访问第二视频信号,并且在与第二动态范围相关的第二色域的第二颜色空间中表示。 第一访问的视频信号被转换成在第二颜色空间中表示的视频信号。 经转换的视频信号的至少两个颜色相关分量被映射在第二动态范围上。 处理映射的视频信号和第二被访问的视频信号。 基于该处理,在经处理的第一和第二视频信号之间测量差。 视觉质量特性涉及经处理的第一和第二视频信号之间的测量差异的大小。 视觉质量特征至少部分地基于差异的测量来评估。
    • 8. 发明授权
    • Adaptive motion estimation
    • 自适应运动估计
    • US08457208B2
    • 2013-06-04
    • US12746834
    • 2008-12-19
    • Walter GishChristopher Vogt
    • Walter GishChristopher Vogt
    • H04N7/36
    • H04N19/577H04N19/51H04N19/587
    • Optimal error metric function for motion estimation is determined and used for video coding and/or video processing of images. To do so, an initial motion estimation using an initial error metric function can be performed. This can produce motion prediction errors. If the initial error metric function is not the optimal error function, then a final motion estimation is performed using a selected optimal error metric function. In some embodiments, a shape of error distribution can be used to determine the optimal error metric function. Some example systems or devices for this motion estimation can include systems or devices for compression, temporal interpolation, and/or super-resolution processing.
    • 确定运动估计的最优误差度量函数,并用于图像的视频编码和/或视频处理。 为此,可以执行使用初始误差度量函数的初始运动估计。 这可能会产生运动预测误差。 如果初始误差度量函数不是最佳误差函数,则使用所选择的最佳误差度量函数来执行最终运动估计。 在一些实施例中,可以使用错误分布的形状来确定最佳误差度量函数。 用于该运动估计的一些示例性系统或装置可以包括用于压缩,时间插值和/或超分辨率处理的系统或装置。
    • 9. 发明申请
    • Quantization control for variable bit depth
    • 可变位深度的量化控制
    • US20060257034A1
    • 2006-11-16
    • US11128125
    • 2005-05-11
    • Walter GishChristopher Vogt
    • Walter GishChristopher Vogt
    • G06K9/36G06K9/00
    • H04N19/124H04N19/126H04N19/184H04N19/61
    • The quantization parameter QP is well-known in digital video compression as an indication of picture quality. Digital symbols representing a moving image are quantized with a quantizing step that is a function QSN of the quantization parameter QP, which function QSN has been normalized to the most significant bit of the bit depth of the digital symbols. As a result, the effect of a given QP is essentially independent of bit depth—a particular QP value has a standard effect on image quality, regardless of bit depth. The invention is useful, for example, in encoding and decoding at different bit depths, to generate compatible, bitstreams having different bit depths, and to allow different bit depths for different components of a video signal by compressing each with the same fidelity (i.e., the same QP).
    • 量化参数QP在数字视频压缩中是众所周知的,作为图像质量的指示。 表示运动图像的数字符号通过量化步长进行量化,该量化步骤是量化参数QP的函数QS N N,该函数QS N N已被归一化为最高有效位 的数位符号的位深度。 结果,给定QP的影响基本上与位深度无关 - 特定的QP值对图像质量具有标准影响,而不考虑位深度。 本发明例如在不同比特深度的编码和解码中是有用的,以产生具有不同比特深度的兼容的比特流,并且通过以相同的保真度压缩每个视频信号的不同分量来允许不同的比特深度(即, 相同的QP)。
    • 10. 发明申请
    • ADAPTIVE MOTION ESTIMATION
    • 自适应运动估计
    • US20100266041A1
    • 2010-10-21
    • US12746834
    • 2008-12-19
    • Walter GishChristopher Vogt
    • Walter GishChristopher Vogt
    • H04N7/26H04N7/36H04N7/46
    • H04N19/577H04N19/51H04N19/587
    • Optimal error metric function for motion estimation is determined and used for video coding and/or video processing of images. To do so, an initial motion estimation using an initial error metric function can be performed. This can produce motion prediction errors. If the initial error metric function is not the optimal error function, then a final motion estimation is performed using a selected optimal error metric function. In some embodiments, a shape of error distribution can be used to determine the optimal error metric function. Some example systems or devices for this motion estimation can include systems or devices for compression, temporal interpolation, and/or super-resolution processing.
    • 确定运动估计的最优误差度量函数,并用于图像的视频编码和/或视频处理。 为此,可以执行使用初始误差度量函数的初始运动估计。 这可能会产生运动预测误差。 如果初始误差度量函数不是最佳误差函数,则使用所选择的最佳误差度量函数来执行最终运动估计。 在一些实施例中,可以使用错误分布的形状来确定最佳误差度量函数。 用于该运动估计的一些示例性系统或装置可以包括用于压缩,时间插值和/或超分辨率处理的系统或装置。