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1. 发明授权

US09323997B2 Distortion/quality measurement 有权
标题翻译：畸变/质量测量
公开(公告)号：US09323997B2
公开(公告)日：2016-04-26
申请号：US14358304
申请日：2011-11-28
申请人： Xiaodong Gu , Kai Xie , Zhibo Chen
发明人： Xiaodong Gu , Kai Xie , Zhibo Chen
IPC分类号： G06K9/03 , H04N17/00
CPC分类号： G06K9/036 , H04N17/004
摘要： Various implementations address distortion and quality measurements related to, for example, freeze-with-skip and/or a freeze-without-skip events. In several implementations, information is accessed indicating that a first and second set of one or more consecutive pictures are not to be displayed. A first and second indicator are determined. In one such implementation, the first and second indicators indicate an amount of distortion across one or more types of distortive effects that result from displaying substantially a first, or second, same picture during a display time for the first, or second, set of pictures. The first and second indicators are combined in a non-linear manner. In another such implementation, the distortion is associated with a given type of distortive effect, from among multiple types of distortive effects, and the first and second indicators are combined for the given type of distortive effect.
摘要翻译：各种实施方案涉及与例如冻结跳过和/或冻结无跳跃事件相关的失真和质量测量。在几个实现中，访问指示不显示第一和第二组一个或多个连续图片的信息。确定第一和第二指示符。在一个这样的实施方案中，第一和第二指示符指示在一个或多个类型的失真效应的失真量，这是由在第一或第二组图像的显示时间期间显示基本上第一或第二相同图像而导致的。第一和第二指标以非线性方式组合。在另一个这样的实现中，失真与多种类型的失真效应中的给定类型的失真效应相关联，并且对于给定类型的失真效应组合第一和第二指示符。

2. 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。

3. 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。

4. 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。

5. 发明授权

US09924167B2 Video quality measurement considering multiple artifacts 有权
公开(公告)号：US09924167B2
公开(公告)日：2018-03-20
申请号：US14358114
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： H04N19/103 , H04N19/154 , H04N19/192 , H04N19/48 , H04N19/89 , H04N17/00
CPC分类号： H04N19/192 , H04N17/004 , H04N19/103 , H04N19/154 , H04N19/48 , H04N19/89
摘要： A particular implementation determines objective distortion levels (d,) respectively for a plurality of artifact types. The objective distortion levels are aligned to ensure that the same distortion level of different types of artifacts corresponds to the same perceived distortion level. The aligned distortion levels (d,′) are sorted to obtain sorted distortion levels (d,″). The sorted distortion levels are then pooled together into an overall distortion level or an overall quality metric. The sorted distortion levels may be pooled using a weighted sum, wherein the weight is larger when the sorted distortion level is greater.

6. 发明授权

US08675075B2 Method and apparatus for measuring video quality 有权
标题翻译：用于测量视频质量的方法和装置
公开(公告)号：US08675075B2
公开(公告)日：2014-03-18
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 , H04N5/21
CPC分类号： H04N17/00 , H04N5/21 , H04N17/002 , H04N19/139 , H04N19/14 , H04N19/172 , H04N19/89
摘要： A method and apparatus for measuring the quality of a video sequence, which includes a plurality of frames, among which one or more consecutive frames are lost, wherein during the displaying of the video sequence, the one or more lost frames are substituted by an immediate preceding frame in the video sequence during a period from the displaying of the immediate preceding frame to that of an immediate subsequent frame of the one or more lost frames, the method includes measuring the quality of the video sequence as a function of a first parameter (DF) relating to the stability of the immediate preceding frame during the period, a second parameter (DD) relating to the continuity between the immediate preceding frame and the immediate subsequent frame, and a third parameter (DP) relating to the coherent 20 motions of the video sequence.
摘要翻译：一种用于测量包括多个帧的视频序列的质量的方法和装置，其中一个或多个连续帧丢失，其中在显示视频序列期间，一个或多个丢失帧被立即替换在从直接前一帧的显示到所述一个或多个丢失帧的即时后续帧的时间段期间，视频序列中的前一帧的视频序列的前一帧，该方法包括测量作为第一参数的函数的视频序列的质量 DF），与第一参数（DP）有关，该第二参数（DD）涉及在紧接着的前一帧与即时后续帧之间的连续性的第二参数（DD）以及与第二参数视频序列。

7. 发明申请

US20130251045A1 METHOD AND DEVICE FOR DETERMINING A MOTION VECTOR FOR A CURRENT BLOCK OF A CURRENT VIDEO FRAME 审中-公开
标题翻译：用于确定电流视频框架的电流块的运动矢量的方法和装置
公开(公告)号：US20130251045A1
公开(公告)日：2013-09-26
申请号：US13991664
申请日：2010-12-10
申请人： Xiaodong Gu , Debing Liu , Zhibo Chen
发明人： Xiaodong Gu , Debing Liu , Zhibo Chen
IPC分类号： H04N7/36
CPC分类号： H04N19/61 , H04N19/521 , H04N19/57
摘要： A method for determining a motion vector for a current video frame block comprises determining the motion vector using full search. Then, a number of further motion vectors is counted which is the number of motion vectors of neighbouring blocks which are similar to each other and the motion vector. Then it is ascertained that the number meets or exceeds a threshold and that the motion vector is not similar to at least one of the counted further motion vectors. A search region is determined using counted motion vectors and searched for a local best match of the current block. The motion vector is changed towards referencing the local best match. The search region only comprises candidates referenced by motion vector candidates similar to a yet further motion vector pointing to a centre of the further search region. Then, the motion vector resembles the motion presumed by the HVS.
摘要翻译：用于确定当前视频帧块的运动矢量的方法包括使用全搜索来确定运动矢量。然后，计数多个其他运动矢量，它们是彼此相似的相邻块的运动矢量的数量和运动矢量。然后确定该数量满足或超过阈值，并且运动矢量与所计数的进一步的运动矢量中的至少一个不相似。使用计数运动矢量确定搜索区域，并搜索当前块的局部最佳匹配。运动矢量改变为参考局部最佳匹配。搜索区域仅包括由与指向另外的搜索区域的中心的又一运动矢量类似的运动矢量候选引用的候选者。然后，运动矢量类似于由HVS假设的运动。

8. 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。

9. 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。

10. 发明申请

US20090304292A1 ENCODING AND DECODING METHODS, DEVICES IMPLEMENTING SAID METHODS AND BITSTREAM 审中-公开
标题翻译：编码和解码方法，设备实现方法和比特
公开(公告)号：US20090304292A1
公开(公告)日：2009-12-10
申请号：US12309721
申请日：2006-08-04
申请人： Quqing Chen , Zhibo Chen , Xiaodong Gu
发明人： Quqing Chen , Zhibo Chen , Xiaodong Gu
IPC分类号： G06K9/36
CPC分类号： H04N19/132 , H04N19/129 , H04N19/176 , H04N19/61 , H04N19/91
摘要： The invention relates to a method for encoding a plurality of non overlapping blocks in a picture. The method comprises the steps of: transforming each of the blocks into a transformed block of coefficients in the frequency domain by applying a predefined transform; scanning the coefficients of at least two neighboring transformed blocks jointly from the lowest frequency to the highest frequency according to a predefined scanning pattern, the group of at least two neighboring transformed blocks being called super-block; and entropy coding the scanned coefficients of the super-block into an entropy coded group of bits.
摘要翻译：本发明涉及一种对图像中的多个非重叠块进行编码的方法。该方法包括以下步骤：通过应用预定义的变换将每个块变换成频域中的变换的系数块; 根据预定义的扫描模式，从最低频率到最高频率共同地扫描至少两个相邻变换块的系数，所述至少两个相邻变换块的组称为超块; 以及将所述超块的扫描系数熵编码为熵编码的比特组。

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