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    • 1. 发明申请
    • Compressed Signal Subjective Quality Ratings Prediction
    • 压缩信号主观质量等级预测
    • US20090060027A1
    • 2009-03-05
    • US11848043
    • 2007-08-30
    • Kevin M. Ferguson
    • Kevin M. Ferguson
    • H04N7/12
    • H04N19/44H04N19/61
    • A no-reference subjective quality ratings predictor for a lossy compressed signal decodes the lossy compressed signal to produce a decompressed signal, and extracts from the lossy compressed signal error bounding parameters and information data. An error estimation generator converts the error bounding parameters to sensitivity test data which is combined with lossy data from an inverse compression module within the decoder to produce data with bounded errors. The data with bounded errors is converted into a sensitivity decompressed signal. The decompressed and sensitivity decompressed signals are processed by a full-reference subjective quality rating predictor to produce the subjective quality ratings for the lossy compressed signal. The information data and decompressed signal may also be input to the error estimation generator to generate the sensitivity test data in conjunction with the error bounding parameters.
    • 有损压缩信号的无参考主观质量等级预测器解码有损压缩信号以产生解压缩信号,并从有损压缩信号误差界限参数和信息数据中提取出来。 误差估计发生器将误差界限参数转换为灵敏度测试数据,该灵敏度测试数据与来自解码器内的逆压缩模块的有损数据组合以产生具有有界误差的数据。 具有有界误差的数据被转换为灵敏度解压缩信号。 解压缩和灵敏度解压缩信号由全参考主观质量评估预测器处理,以产生有损压缩信号的主观质量等级。 信息数据和解压缩信号也可以输入到误差估计发生器,以结合误差界限参数产生灵敏度测试数据。
    • 2. 发明授权
    • Picture quality diagnostics for revealing cause of perceptible impairments
    • 图像质量诊断,用于揭示感觉障碍的原因
    • US07102667B2
    • 2006-09-05
    • US10102405
    • 2002-03-18
    • Kevin M. Ferguson
    • Kevin M. Ferguson
    • H04N17/00
    • H04N17/00
    • A picture quality diagnostics apparatus and method generates a human vision model response based on a human vision model for a test input video signal. Also objective measure maps for different impairment types are generated from the test input video signal. The objective measure maps are applied as masks to the human vision model response to produce objectively filtered subjective maps. The objectively filtered subjective maps are analyzed to give the respective proportions of the different objective impairment types contributing to perceptual impairment or difference for the test input video signal.
    • 图像质量诊断装置和方法基于用于测试输入视频信号的人类视觉模型生成人类视觉模型响应。 还可以从测试输入视频信号生成不同损伤类型的客观测量图。 将客观测量图应用于人类视觉模型反应的掩模,以产生客观过滤的主观地图。 分析客观过滤的主观地图,以给出对测试输入视频信号造成感知障碍或差异的不同客观损害类型的各自比例。
    • 3. 发明授权
    • High-speed DAC linearity measurement
    • 高速DAC线性度测量
    • US07009538B1
    • 2006-03-07
    • US11015958
    • 2004-12-16
    • Kevin M. Ferguson
    • Kevin M. Ferguson
    • H03M1/10
    • H03M1/1085H03M1/66
    • A high-speed digital-to-analog converter (DAC) measurement method acquires and quantizes an analog ramp output by the DAC corresponding to a digital ramp input to produce a quantized ramp, determines a start and end of the quantized ramp, obtains a difference between the quantized ramp and an ideal ramp to produce a quantized periodic signal (triangular or sinusoidal), determines a frequency for a qualified peak from an FFT of the quantized periodic signal, produces a mask filtered periodic signal from an iFFT around the qualified peak, and determines a sample window spanning a local maximum and minimum for each period of the quantized periodic signal. The ramp step levels are the averages of the samples within each sample window. From the step levels in DAC LSB's, resolution, monotonicity, differential lineary and integral linearity are determined for the DAC.
    • 高速数模转换器(DAC)测量方法获取并量化由数字斜坡输入相应的DAC输出的模拟斜坡以产生量化斜坡,确定量化斜坡的开始和结束,获得差值 在量化斜坡和产生量化周期信号(三角形或正弦曲线)的理想斜坡之间,从量化周期信号的FFT确定合格峰值的频率,产生围绕合格峰值的iFFT的掩模滤波周期信号, 并且确定跨越量化周期信号的每个周期的局部最大值和最小值的采样窗口。 斜坡级别是每个样本窗口中样本的平均值。 从DAC LSB的分级,分辨率,单调性,差分线性和积分线性度确定为DAC。
    • 4. 发明授权
    • Multiple sinusoidal burst frequency measurements
    • 多次正弦猝发频率测量
    • US06954707B2
    • 2005-10-11
    • US10781455
    • 2004-02-18
    • Kevin M. Ferguson
    • Kevin M. Ferguson
    • H04L1/20H04N17/00H04B17/00
    • H04L1/0021H04L1/20H04N17/00
    • A method of measuring frequencies of multiple sinusoidal bursts in a signal uses a time-domain window that includes all the bursts which are then transformed to the frequency by domain an FFT. The magnitudes of the frequency bins are filtered and smoothed to create a minimum magnitude threshold array. An adaptive threshold is calculated from the minimum magnitude threshold array, maximum magnitudes of the frequency bins and an adjustable constant. The magnitudes are then compared to the adaptive threshold and the number of consecutive frequency bins above the adaptive threshold are counted and, if correct for the given signal, a centroid is determined for each frequency bin. If the number of bursts is not correct, then the adjustable constant is altered and the adaptive threshold recalculated. The centroids are converted to measured frequencies for the multiple sinusoidal bursts.
    • 一种测量信号中多个正弦脉冲串的频率的方法使用包括所有脉冲串的时域窗口,然后这些脉冲串被逐个频域地被FFT变换。 频率仓的幅度被滤波和平滑以创建最小幅度阈值阵列。 从最小幅度阈值阵列,频率仓的最大幅度和可调整常数计算自适应阈值。 然后将幅度与自适应阈值进行比较,并计数高于自适应阈值的连续频率仓的数量,并且如果对于给定信号正确,则为每个频率仓确定质心。 如果突发数量不正确,则可调节常数被改变,并重新计算自适应阈值。 质心被转换为多个正弦波脉冲串的测量频率。
    • 5. 发明授权
    • Automatic video signal identification
    • 视频信号自动识别
    • US5661527A
    • 1997-08-26
    • US499539
    • 1995-07-07
    • Kevin M. Ferguson
    • Kevin M. Ferguson
    • H04N17/00H04N5/46
    • H04N17/00
    • An automatic video signal identification system uses zero-mean normalized reference signals that are cross-correlated with an input video signal. The input video signal is stored in an acquisition memory and then cross-correlated with a plurality of reference signal templates, each template representing a particular video signal to be identified. The cross-correlation process provides a corresponding plurality of maximum correlation outputs. The largest maximum correlation output is determined, and the corresponding template identified. If not already normalized, the largest maximum correlation .output is normalized to produce a correlation coefficient. Based upon the identified template the correlation coefficient is tested to determine the validity of the match, i.e., whether the video signal is identified or whether the video signal is unknown. The resulting match ID is then converted into a code which is used to steer video signal measurements for the identified video signal and/or into a text label for display. The reference signal templates may be preloaded or captured from the input signal, making the system adaptable for identifying additional video signals.
    • 自动视频信号识别系统使用与输入视频信号互相关的零均值归一化参考信号。 输入视频信号存储在采集存储器中,然后与多个参考信号模板交叉相关,每个模板表示要识别的特定视频信号。 互相关处理提供相应的多个最大相关输出。 确定最大最大相关输出,并确定相应的模板。 如果尚未规范化,则将最大最大相关度输出归一化以产生相关系数。 基于所识别的模板,测试相关系数以确定匹配的有效性,即视频信号是识别还是视频信号是未知的。 所得到的匹配ID然后被转换成用于引导所识别的视频信号的视频信号测量的代码和/或用于显示的文本标签。 参考信号模板可以从输入信号预加载或捕获,使得系统适用于识别附加视频信号。
    • 8. 发明授权
    • Method of detecting visual stress and photosensitive epilepsy triggers in video and mitigation device
    • 在视频和缓解装置中检测视觉应激和光敏性癫痫触发的方法
    • US08768020B2
    • 2014-07-01
    • US13340481
    • 2011-12-29
    • Kevin M. Ferguson
    • Kevin M. Ferguson
    • G06K9/00
    • G06K9/00718G06T7/0002G06T7/20G06T2207/30168G06T2210/41
    • Embodiments of the invention include a method for detecting visual stress scenes in a video. First, a video that includes scenes that may cause visual stress in some viewers is received. Then, a signal representing human perceptual response from scenes in the video is generated. An envelope follower is applied to the perceptual response, from which indications that the video contains visual stress scenes may be generated. The output may also be used to control a contrast limiting circuit, which modifies the original video to remove or minimize those scenes that may cause visual stress. Additionally, output from the envelope follower may be converted to a simulated EEG signal and used to verify accurate modeling by comparing the simulated EEG signal to one measured directly from a viewer watching the same video.
    • 本发明的实施例包括一种用于检测视频中的视觉应激场景的方法。 首先,收到一些视频,其中包含可能在一些观众中引起视觉压力的场景。 然后,产生表示视频中场景的人感知响应的信号。 信号跟随器被应用于感知响应,从该视觉响应可以产生视频包含视觉压力场景的指示。 该输出还可以用于控制对比度限制电路,其修改原始视频以去除或最小化可能导致视觉压力的那些场景。 此外,来自包络跟随器的输出可以被转换为模拟的EEG信号,并且用于通过将模拟的EEG信号与观看同一视频的观看者直接测量的EEG信号进行比较来验证精确的建模。
    • 10. 发明授权
    • Relative channel delay measurement
    • 相对通道延迟测量
    • US07180537B2
    • 2007-02-20
    • US10780785
    • 2004-02-18
    • Kevin M. Ferguson
    • Kevin M. Ferguson
    • H04N17/02
    • H04N17/02
    • A method of measuring relative channel delay between components of a video signal includes removing a local mean from each of the pair of input component signals and cross-correlating the resulting pair of input component signals. A mean is removed from the cross-correlation and a centroid for the cross-correlation is found within a region bound by nearest zero-crossing to a peak in the cross-correlation. The centroid is then converted to a delay time as a function of sample rate after removing a sample offset. Also a normalized peak value of the cross-correlation provides a figure of merit for the probable accuracy of the delay measurement.
    • 测量视频信号的分量之间的相对信道延迟的方法包括从一对输入分量信号中的每一个去除一个局部平均值,并将所得到的一对输入分量信号互相关。 从互相关中去除平均值,并且在由互相关中的峰值的最近过零点限定的区域内发现互相关的质心。 然后,在去除样本偏移后,质心作为采样率的函数转换为延迟时间。 互相关的归一化峰值也提供延迟测量的可能精度的品质因数。