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    • 63. 发明申请
    • METHOD AND APPARATUS FOR ESTIMATING CONTENT COMPLEXITY FOR VIDEO QUALITY ASSESSMENT
    • 用于估计视频质量评估的内容复杂度的方法和装置
    • WO2014032463A1
    • 2014-03-06
    • PCT/CN2013/077846
    • 2013-06-25
    • THOMSON LICENSINGZHANG, FanLIAO, NingXIE, KaiCHEN, Zhibo
    • ZHANG, FanLIAO, NingXIE, KaiCHEN, Zhibo
    • H04N17/00H04N7/26
    • H04N19/154H04N17/004H04N19/114H04N19/177H04N19/192H04N19/36
    • To estimate content complexity of a video, energy of prediction residuals is calculated. The prediction residuals are usually smaller when the video is less complex and more predictable. Scales of prediction residuals also depend on encoding configurations, for example, I pictures usually have larger prediction residuals than P and B pictures even when the contents are very similar and thus have similar perceived content complexity. To more closely reflect the content complexity, alignment scaling factors are estimated for different encoding configurations. Based on the energy of prediction residuals and alignment scaling factors, an overall content unpredictability parameter can be estimated to compute a compression distortion factor for the video. The compression distortion factor, combined with slicing and freezing distortion factors, can be used to estimate a video quality metric for the video.
    • 为了估计视频的内容复杂度,计算预测残差的能量。 当视频不太复杂和更可预测时,预测残差通常较小。 预测残差的尺度也取决于编码配置,例如,即使当内容非常相似并且因此具有相似的感知内容复杂性时,I画面通常具有比P和B画面更大的预测残差。 为了更紧密地反映内容复杂性,针对不同的编码配置估计对齐缩放因子。 基于预测残差和对准缩放因子的能量,可以估计总体内容不可预测性参数以计算视频的压缩失真因子。 压缩失真因子,结合切片和冻结失真因子,可用于估计视频的视频质量度量。
    • 64. 发明申请
    • IMAGE QUALITY MEASUREMENT BASED ON LOCAL AMPLITUDE AND PHASE SPECTRA
    • 基于局部振幅和相位谱的图像质量测量
    • WO2013177779A1
    • 2013-12-05
    • PCT/CN2012/076338
    • 2012-05-31
    • THOMSON LICENSINGZHANG, FanCHEN, ZhiboJIANG, Wenfei
    • ZHANG, FanCHEN, ZhiboJIANG, Wenfei
    • H04N17/00G06T7/00
    • G06T7/0002G06K9/66G06T3/4084G06T2207/20048G06T2207/30168
    • A method and system for determining a quality metric score for image processing are described including accepting a reference image, performing a pyramid transformation on the accepted reference image to produce a predetermined number of scales, applying image division to each scale to produce reference image patches, accepting a distorted image, performing a pyramid transformation on the accepted distorted image to produce the predetermined number of scales, applying image division to each scale to produce distorted image patches, performing a local distortion calculation for corresponding reference and distorted image patches, summing local distortion calculation results for image patch pairs, multiplying results of the summation operation by a positive weight for each scale, summing the results of the multiplication operation and applying a sigmoid function to results of the second summation operation to produce the quality metric score.
    • 描述了用于确定用于图像处理的质量度量得分的方法和系统,包括接受参考图像,对所接受的参考图像执行金字塔变换以产生预定数量的刻度,对每个比例应用图像划分以产生参考图像块, 接受失真的图像,对接受的畸变图像执行金字塔变换以产生预定数量的刻度,对每个刻度进行图像划分以产生失真的图像块,对相应的参考和失真的图像块执行局部失真计算,求和局部失真 图像补丁对的计算结果,将求和运算的结果乘以每个比例的正权重,将乘法运算的结果相加,并将S形函数应用于第二加和运算的结果以产生质量度量得分。