公开(公告)号：US20140307103A1

公开(公告)日：2014-10-16

申请号：US14356447

申请日：2011-11-28

申请人： Xiaodong Gu ,  Debing Liu ,  Zhibo Chen

发明人： Xiaodong Gu ,  Debing Liu ,  Zhibo Chen

IPC分类号： H04N17/00

CPC分类号： H04N17/004 ,  H04N19/154 ,  H04N19/895

摘要： Various implementations address distortion and quality measurements. Certain implementations relate to distortions resulting in a freeze-with-skip and/or a freeze-without-skip. In one implementation, a pause term provides an indication of distortion associated with a pause arising from not displaying one or more consecutive pictures that are not to be displayed. A motion term provides an indication of distortion associated with a related change in motion. A combined indicator is based on an addition of the pause term and the motion term. In another particular implementation, a first indicator indicates distortion across one or more types of distortive effects that results from not displaying a first set of pictures. A second indicator indicates corresponding distortion with respect to a second set of pictures. The first indicator and the second indicator are combined in a non-linear manner.

摘要翻译： 各种实现解决了失真和质量测量。 某些实施方式涉及导致冻结与跳过和/或冻结无跳跃的失真。 在一个实现中，暂停项提供与不显示一个或多个不被显示的连续图像产生的暂停相关联的失真指示。 运动项提供与相关运动变化相关联的失真的指示。 组合指示器基于暂停项和运动项的添加。 在另一具体实现中，第一指示符指示由不显示第一组图像而导致的一种或多种类型的失真效应的失真。 第二指示符指示相对于第二组图像的相应失真。 第一指示符和第二指示符以非线性方式组合。

公开(公告)号：US20140254938A1

公开(公告)日：2014-09-11

申请号：US14359926

申请日：2011-11-24

申请人： Xiaodong Gu ,  Debing Liu ,  Zhibo Chen

发明人： Xiaodong Gu ,  Debing Liu ,  Zhibo Chen

IPC分类号： G06T5/00 ,  G06T5/20

CPC分类号： G06T5/002 ,  G06T5/20 ,  G06T2207/20192 ,  H04N19/117 ,  H04N19/14 ,  H04N19/17 ,  H04N19/895

摘要： Methods and apparatus for artifact detection are provided by the present principles that measure the level of artifacts, such as those caused by temporal concealment of errors due to packet loss, for conditional error concealment. The principles are based on an assumption that sharp edges of video are rarely aligned with macroblock boundaries so video discontinuities are checked throughout the video. The scheme solves the problem of error propagation when temporal concealment of artifacts is used and the high false alarm rates of prior methods. Artifact detection methods are provided for regions of an image, an entire image, or for a video sequence, with error concealment provided conditionally based on the artifact levels.

摘要翻译： 用于伪影检测的方法和装置由用于条件错误隐藏的测量诸如由于分组丢失引起的错误的时间隐藏而引起的伪影等级的本原理提供。 这些原理基于这样一种假设：视频的锐利边缘很少与宏块边界对齐，因此在整个视频中检查视频不连续性。 该方案解决了使用伪像的时间隐藏和先前方法的高误报率时的误差传播问题。 为图像，整个图像或视频序列的区域提供伪像检测方法，其中错误隐藏基于伪像级别有条件地提供。

公开(公告)号：US20140328550A1

公开(公告)日：2014-11-06

申请号：US14372316

申请日：2012-01-20

申请人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu

发明人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu

IPC分类号： G06T7/00

CPC分类号： G06T7/0002 ,  G06T5/003 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/20021 ,  G06T2207/20104 ,  G06T2207/30168 ,  H04N17/02

摘要： An image is partitioned into a foreground area, a background area, and optionally a transitional area. The partitioning may be pre-defined, or it may be based on user inputs and configuration data. The partitioning may also be refined based on an initial partitioning. Blur measures are determined respectively for the partitioned areas. A blur measure for the whole image can then be determined from a weighted average of the blur measures for the partitioned areas. The blur measure for the image can be used in a video quality monitor.

摘要翻译： 图像被划分为前景区域，背景区域和可选的过渡区域。 分区可以是预定义的，或者可以基于用户输入和配置数据。 也可以基于初始分区来改进分区。 对分割区域分别确定模糊度。 然后可以从分割区域的模糊度量的加权平均值确定整个图像的模糊度量。 图像的模糊度可用于视频质量监视器。

公开(公告)号：US08724899B2

公开(公告)日：2014-05-13

申请号：US13578003

申请日：2010-02-11

申请人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu ,  Feng Xu

发明人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu ,  Feng Xu

IPC分类号： G06K9/34

CPC分类号： G06T7/40 ,  G06T2207/10004 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/30168 ,  H04N19/117 ,  H04N19/159 ,  H04N19/176 ,  H04N19/86 ,  H04N19/865

摘要： A method for processing an image divided into blocks of pixels is disclosed. The method comprises the steps of: detecting, for each block, a largest sub-block whose pixels have an equal luminance value; identifying, for each block, if the detected largest sub-block is or is not a natural texture; determining, for each block, a block blockiness level on the basis of the number of pixels within the detected largest sub-block and on the basis of the identification step; and processing the image on the basis of the block blockiness levels.

摘要翻译： 公开了一种用于处理被划分成像素块的图像的方法。 该方法包括以下步骤：针对每个块检测其像素具有相等亮度值的最大子块; 识别每个块，如果检测到的最大子块是或不是自然纹理; 基于所检测的最大子块内的像素数量，并基于所述识别步骤，为每个块确定块块级别; 并且基于块阻塞级别处理图像。

公开(公告)号：US20130120587A1

公开(公告)日：2013-05-16

申请号：US13811657

申请日：2010-07-30

申请人： Xiaodong Gu ,  Debing Liu ,  Zhibo Chen

发明人： Xiaodong Gu ,  Debing Liu ,  Zhibo Chen

IPC分类号： H04N17/00

CPC分类号： H04N17/00 ,  H04N5/21 ,  H04N17/002 ,  H04N19/139 ,  H04N19/14 ,  H04N19/172 ,  H04N19/89

摘要： The present invention provides a method and corresponding apparatus for measuring the quality of a video sequence. The video sequence is comprised of a plurality of frames, among which one or more consecutive frames are lost. During the displaying of the video sequence, said one or more lost frames are substituted by an immediate preceding frame in the video sequence during a period from the displaying of said immediate preceding frame to that of an immediate subsequent frame of said one or more lost frames. The method comprises: measuring the quality of the video sequence as a function of a first parameter relating to the stability of said immediate preceding frame during said period, a second parameter relating to the continuity between said immediate preceding frame and said immediate subsequent frame, and a third parameter relating to the coherent motions of the video sequence.

摘要翻译： 本发明提供一种用于测量视频序列的质量的方法和相应的装置。 视频序列由多个帧组成，其中一个或多个连续帧丢失。 在显示视频序列期间，在从所述即时前一帧的显示到所述一个或多个丢失帧的即时后续帧的周期期间，所述一个或多个丢失帧被所述视频序列中紧邻的前一帧替代 。 该方法包括：根据在所述时段期间所述紧接在前的帧的稳定性的第一参数的函数，测量视频序列的质量，与所述即时前一帧和所述即时后续帧之间的连续性有关的第二参数，以及 涉及视频序列的相干运动的第三参数。

公开(公告)号：US09715736B2

公开(公告)日：2017-07-25

申请号：US14414721

申请日：2012-08-09

申请人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu

发明人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu

IPC分类号： G06K9/48 ,  G06T7/00 ,  H04N19/86

CPC分类号： G06T7/13 ,  G06T2207/10016 ,  G06T2207/20012 ,  H04N19/86

摘要： The present invention generally relates to automatic detection of video artifacts. The present invention relates to automatically detect out the images with visible artifacts due to STB decoding error based on a generated artificial edge map. In particular, the application teaches a method to detect out the images with the visible artifacts and how to identify artificial edges from texture (natural) edges. The present system identifies that artificial edges are most significant in local area, while texture edges are often together with some other texture edges.

公开(公告)号：US09280813B2

公开(公告)日：2016-03-08

申请号：US14372316

申请日：2012-01-20

申请人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu

发明人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu

IPC分类号： G06K9/52 ,  G06T7/00 ,  H04N17/02 ,  G06T5/00

CPC分类号： G06T7/0002 ,  G06T5/003 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/20021 ,  G06T2207/20104 ,  G06T2207/30168 ,  H04N17/02

摘要： An image is partitioned into a foreground area, a background area, and optionally a transitional area. The partitioning may be pre-defined, or it may be based on user inputs and configuration data. The partitioning may also be refined based on an initial partitioning. Blur measures are determined respectively for the partitioned areas. A blur measure for the whole image can then be determined from a weighted average of the blur measures for the partitioned areas. The blur measure for the image can be used in a video quality monitor.

摘要翻译： 图像被划分为前景区域，背景区域和可选的过渡区域。 分区可以是预定义的，或者可以基于用户输入和配置数据。 也可以基于初始分区来改进分区。 对分割区域分别确定模糊度。 然后可以从分割区域的模糊度量的加权平均值确定整个图像的模糊度量。 图像的模糊度可用于视频质量监视器。

公开(公告)号：US08879003B1

公开(公告)日：2014-11-04

申请号：US14356447

申请日：2011-11-28

申请人： Xiaodong Gu ,  Debing Liu ,  Zhibo Chen

发明人： Xiaodong Gu ,  Debing Liu ,  Zhibo Chen

IPC分类号： H04N17/00 ,  H04N5/21

CPC分类号： H04N17/004 ,  H04N19/154 ,  H04N19/895

摘要： Various implementations address distortion and quality measurements. Certain implementations relate to distortions resulting in a freeze-with-skip and/or a freeze-without-skip. In one implementation, a pause term provides an indication of distortion associated with a pause arising from not displaying one or more consecutive pictures that are not to be displayed. A motion term provides an indication of distortion associated with a related change in motion. A combined indicator is based on an addition of the pause term and the motion term. In another particular implementation, a first indicator indicates distortion across one or more types of distortive effects that results from not displaying a first set of pictures. A second indicator indicates corresponding distortion with respect to a second set of pictures. The first indicator and the second indicator are combined in a non-linear manner.

摘要翻译： 各种实现解决了失真和质量测量。 某些实施方式涉及导致冻结与跳过和/或冻结无跳跃的失真。 在一个实现中，暂停项提供与不显示一个或多个不被显示的连续图像产生的暂停相关联的失真指示。 运动项提供与相关运动变化相关联的失真的指示。 组合指示器基于暂停项和运动项的添加。 在另一具体实现中，第一指示符指示由不显示第一组图像而导致的一种或多种类型的失真效应的失真。 第二指示符指示相对于第二组图像的相应失真。 第一指示符和第二指示符以非线性方式组合。

公开(公告)号：US20130050503A1

公开(公告)日：2013-02-28

申请号：US13695060

申请日：2010-04-30

申请人： Feng Xu ,  Zhibo Chen ,  Debing Liu ,  Xiaodong Gu

发明人： Feng Xu ,  Zhibo Chen ,  Debing Liu ,  Xiaodong Gu

IPC分类号： H04N17/00

CPC分类号： H04N17/004 ,  G06N99/005 ,  G06T7/0002 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/30168

摘要： The invention is made in the technical field of video quality measurement. More precisely, the invention is related to mean observer score prediction using a trained semi-supervised learning regressor. That is, a method and apparatus for measuring video quality using a semi-supervised learning system for mean observer score prediction is proposed. Said semi-supervised learning system comprises at least one semi-supervised learning regressor and said method comprises training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting, in the user interface, said at least one mean observer score prediction. Doing so, prediction quality can be improved after re-training at least for the selection.

摘要翻译： 本发明是在视频质量测量技术领域进行的。 更准确地说，本发明涉及使用训练有素的半监督学习回归器的平均观察者评分预测。 也就是说，提出了一种使用半监督学习系统测量视频质量的方法和装置，用于平均观察员评分预测。 所述半监督学习系统包括至少一个半监督学习回归器，并且所述方法包括训练学习系统并且使用测试数据的选择重新训练训练学习系统，其中测试数据用于确定至少一个平均观察者评分预测 使用训练的学习系统和选择由在用户界面中呈现所述至少一个平均观察者分数预测时通过用户界面接收的反馈来指示。 做到这一点，至少在选择后再进行训练后，可以提高预测质量。

公开(公告)号：US20120314952A1

公开(公告)日：2012-12-13

申请号：US13578003

申请日：2010-02-11

申请人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu ,  Feng Xu

发明人： Debing Liu ,  Zhibo Chen ,  Xiaodong Gu ,  Feng Xu

IPC分类号： G06K9/34

CPC分类号： G06T7/40 ,  G06T2207/10004 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/30168 ,  H04N19/117 ,  H04N19/159 ,  H04N19/176 ,  H04N19/86 ,  H04N19/865

摘要： A method for processing an image divided into blocks of pixels is disclosed. The method comprises the steps of: detecting, for each block, a largest sub-block whose pixels have an equal luminance value; identifying, for each block, if the detected largest sub-block is or is not a natural texture; determining, for each block, a block blockiness level on the basis of the number of pixels within the detected largest sub-block and on the basis of the identification step; and processing the image on the basis of the block blockiness levels.

摘要翻译： 公开了一种用于处理被划分成像素块的图像的方法。 该方法包括以下步骤：针对每个块检测其像素具有相等亮度值的最大子块; 识别每个块，如果检测到的最大子块是或不是自然纹理; 基于所检测的最大子块内的像素数量，并基于所述识别步骤，为每个块确定块块级别; 并且基于块阻塞级别处理图像。