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1. 发明授权

US09076220B2 Method of processing an image based on the determination of blockiness level 有权
标题翻译：基于块级别的确定来处理图像的方法
公开(公告)号：US09076220B2
公开(公告)日：2015-07-07
申请号：US13642622
申请日：2010-04-29
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 , G06T7/00 , G06T7/40 , H04N19/159 , H04N19/176 , H04N19/117 , H04N19/86
CPC分类号： G06T7/0081 , G06T7/0002 , G06T7/11 , G06T7/181 , G06T7/41 , 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 described. The method includes detecting a largest sub-block whose pixels have an equal luminance value and identifying if the detected largest sub-block is or is not a natural texture. Thereafter, a weighted luminance difference is calculated between the detected largest sub-block and neighboring pixels and a block blockiness level is determined on the basis of the number of pixels within the detected largest sub-block, of the identification step and of the weighted luminance difference. The image is then processed on the basis of the block blockiness level.
摘要翻译：描述用于处理被划分成像素块的图像的方法。该方法包括检测其像素具有相等亮度值的最大子块，并且识别检测到的最大子块是否是自然纹理。此后，在检测到的最大子块和相邻像素之间计算加权亮度差，并且基于检测到的最大子块中的像素数，确定步骤的加权亮度和区别。然后基于块块化级别处理图像。

2. 发明授权

US08824783B2 Method and apparatus for measuring video quality using at least one semi-supervised learning regressor for mean observer score prediction 有权
标题翻译：使用至少一个半监督学习回归器测量视频质量的方法和装置，用于平均观察者评分预测
公开(公告)号：US08824783B2
公开(公告)日：2014-09-02
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： G06K9/62 , G06K9/46 , H04N17/00 , G06T7/00
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。

3. 发明授权

US08723960B2 Method for measuring video quality using a reference, and apparatus for measuring video quality using a reference 有权
标题翻译：使用参考来测量视频质量的方法，以及使用参考来测量视频质量的装置
公开(公告)号：US08723960B2
公开(公告)日：2014-05-13
申请号：US13807875
申请日：2010-07-02
申请人： Xiaodong Gu , Debing Liu , Feng Xu , Zhibo Chen
发明人： Xiaodong Gu , Debing Liu , Feng Xu , Zhibo Chen
IPC分类号： H04N17/00
CPC分类号： H04N5/14 , G06K9/00758 , G06K9/6212 , H04N17/004
摘要： The purpose of an objective video quality evaluation is to automatically assess the quality of video sequences in agreement with human quality perception. The invention addresses the effects of the introduction of a temporal dimension by focusing on the temporal evolutions of spatial distortions, since it has been found that a spatial quality variation cannot be evaluated by simple subtraction of the spatial quality of neighboring frames. An improved method for estimating perceived video quality comprises steps of calculating a first similarity map between adjacent frames of a current sequence, calculating a second similarity map between the corresponding reference frames, and calculating (smg3) a third similarity map, which provides a numerical quality value.
摘要翻译：客观视频质量评估的目的是自动评估视频序列的质量，符合人的素质感知。本发明通过关注空间失真的时间演变来解决引入时间维度的效果，因为已经发现空间质量变化不能通过简单地减去相邻帧的空间质量来评估。一种用于估计感知视频质量的改进方法包括以下步骤：计算当前序列的相邻帧之间的第一相似度图，计算相应参考帧之间的第二相似度映射，以及计算（smg3）第三相似度图，其提供数值质量值。

4. 发明申请

US20130100350A1 METHOD FOR MEASURING VIDEO QUALITY USING A REFERENCE, AND APPARATUS FOR MEASURING VIDEO QUALITY USING A REFERENCE 有权
标题翻译：使用参考来测量视频质量的方法，以及使用参考来测量视频质量的装置
公开(公告)号：US20130100350A1
公开(公告)日：2013-04-25
申请号：US13807875
申请日：2010-07-02
申请人： Xiaodong Gu , Debing Liu , Feng Xu , Zhibo Chen
发明人： Xiaodong Gu , Debing Liu , Feng Xu , Zhibo Chen
IPC分类号： H04N5/14
CPC分类号： H04N5/14 , G06K9/00758 , G06K9/6212 , H04N17/004
摘要： The purpose of an objective video quality evaluation is to automatically assess the quality of video sequences in agreement with human quality perception. The invention addresses the effects of the introduction of a temporal dimension by focusing on the temporal evolutions of spatial distortions, since it has been found that a spatial quality variation cannot be evaluated by simple subtraction of the spatial quality of neighbouring frames. An improved method for estimating perceived video quality comprises steps of calculating a first similarity map between adjacent frames of a current sequence, calculating a second similarity map between the corresponding reference frames, and calculating (smg3) a third similarity map, which provides a numerical quality value.
摘要翻译：客观视频质量评估的目的是自动评估视频序列的质量，符合人的素质感知。本发明通过关注空间失真的时间演变来解决引入时间维度的效果，因为已经发现空间质量变化不能通过简单地减去相邻帧的空间质量来评估。一种用于估计感知视频质量的改进方法包括以下步骤：计算当前序列的相邻帧之间的第一相似度图，计算相应参考帧之间的第二相似度映射，以及计算（smg3）第三相似度图，其提供数值质量值。

5. 发明申请

US20130039420A1 METHOD OF PROCESSING AN IMAGE 有权
标题翻译：处理图像的方法
公开(公告)号：US20130039420A1
公开(公告)日：2013-02-14
申请号：US13642622
申请日：2010-04-29
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： H04N7/32
CPC分类号： G06T7/0081 , G06T7/0002 , G06T7/11 , G06T7/181 , G06T7/41 , G06T2207/20021 , G06T2207/30168 , H04N19/117 , H04N19/159 , H04N19/176 , H04N19/86 , H04N19/865
摘要： The invention relates to a method for processing an image divided into blocks of pixels comprising 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; calculating, for each block, a weighted luminance difference between the detected largest sub-block and neighboring pixels; determining, for each block, a block blockiness level on the basis of the number of pixels within the detected largest sub-block, of said identification step and of said weighted luminance difference; and processing the image on the basis of the block blockiness levels.
摘要翻译：本发明涉及一种用于处理被划分成像素块的图像的方法，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; 针对每个块计算所检测的最大子块和相邻像素之间的加权亮度差; 基于检测到的最大子块中的像素数，所述识别步骤和所述加权亮度差来确定每个块的块阻塞级别; 并且基于块阻塞级别处理图像。

6. 发明授权

US08724899B2 Method of processing an image and corresponding device 有权
标题翻译：处理图像和相应设备的方法
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。

7. 发明申请

US20130050503A1 METHOD AND APPARATUS FOR MEASURING VIDEO QUALITY USING AT LEAST ONE SEMI-SUPERVISED LEARNING REGRESSOR FOR MEAN OBSERVER SCORE PREDICTION 有权
标题翻译：用于使用至少一个半监督学习恢复器来测量视频质量的方法和装置，用于平均观察员分数预测
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。

8. 发明申请

US20120314952A1 METHOD FOR PROCESSING AN IMAGE 有权
标题翻译：处理图像的方法
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。

9. 发明申请

US20140307103A1 DISTORTION/QUALITY MEASUREMENT 有权
标题翻译：失败/质量测量
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。

10. 发明申请

US20140254938A1 METHODS AND APPARATUS FOR AN ARTIFACT DETECTION SCHEME BASED ON IMAGE CONTENT 审中-公开
标题翻译：基于图像内容的人工检测方案的方法和装置
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。

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