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61. 发明申请

US20070216675A1 Digital Video Effects 有权
标题翻译：数码影像效果
公开(公告)号：US20070216675A1
公开(公告)日：2007-09-20
申请号：US11467859
申请日：2006-08-28
申请人： Jian Sun , Qiang Wang , Weiwei Zhang , Xiaoou Tang , Heung-Yeung Shum
发明人： Jian Sun , Qiang Wang , Weiwei Zhang , Xiaoou Tang , Heung-Yeung Shum
IPC分类号： H04N13/04 , G06T15/00
CPC分类号： G06T11/00
摘要： Digital video effects are described. In one aspect, a foreground object in a video stream is identified. The video stream comprises multiple image frames. The foreground object is modified by rendering a 3-dimensional (3-D) visual feature over the foreground object for presentation to a user in a modified video stream. Pose of the foreground object is tracked in 3-D space across respective ones of the image frames to identify when the foreground object changes position in respective ones of the image frames. Based on this pose tracking, aspect ratio of the 3-D visual feature is adaptively modified and rendered over the foreground object in corresponding image frames for presentation to the user in the modified video stream.
摘要翻译：描述数字视频效果。在一个方面，识别视频流中的前景对象。视频流包括多个图像帧。通过在前景对象上呈现三维（3-D）视觉特征来修改前景对象，以呈现给经修改的视频流中的用户。前景物体的姿态在相应的图像帧中的3-D空间中被跟踪，以识别前景对象何时改变相应图像帧中的位置。基于这种姿态跟踪，3-D视觉特征的宽高比被自适应地修改并在相应图像帧中的前景对象上呈现，以便在修改的视频流中呈现给用户。

62. 发明申请

US20070091093A1 Clickable Video Hyperlink 有权
标题翻译：可点击的视频超链接
公开(公告)号：US20070091093A1
公开(公告)日：2007-04-26
申请号：US11419641
申请日：2006-05-22
申请人： Yin Li , Jian Sun , Li Li , Weiwei Zhang , Xiaoou Tang , Ying Li , Michael Hurt , Eric Picard
发明人： Yin Li , Jian Sun , Li Li , Weiwei Zhang , Xiaoou Tang , Ying Li , Michael Hurt , Eric Picard
IPC分类号： G06T15/70
CPC分类号： G06F17/30017 , H04N5/445 , H04N21/235 , H04N21/42204 , H04N21/4316 , H04N21/435 , H04N21/47 , H04N21/478 , H04N21/4782 , H04N21/8583
摘要： A system that provides binds or associates a clickable hyperlink with an object that appears in a video stream. The hyperlink may be sent in a separate stream from the video stream, and user interfaces are provided to a user to activate the hyperlink. Activation of the hyperlink may cause a redirection to an associated website. Furthermore, feedback may be provided as to the user's activity regarding interest and activation regarding particular hyperlinks in the video.
摘要翻译：提供将可点击的超链接与出现在视频流中的对象绑定或关联的系统。该超链接可以与视频流独立的流中发送，并且向用户提供用户界面来激活超链接。超链接的激活可能导致重定向到关联的网站。此外，可以提供关于用户关于关于视频中的特定超链接的兴趣和激活的活动的反馈。

63. 发明申请

US20050123211A1 Digital image processing system and method for processing digital images 失效
标题翻译：数字图像处理系统和数字图像处理方法
公开(公告)号：US20050123211A1
公开(公告)日：2005-06-09
申请号：US10913895
申请日：2004-08-06
申请人： Kam Wong , Xiaoou Tang , Ying Ho , Kwok Leung , Hoi Chu
发明人： Kam Wong , Xiaoou Tang , Ying Ho , Kwok Leung , Hoi Chu
IPC分类号： G06K9/00 , G06T1/00 , G06T5/00 , H04N1/60 , H04N9/64 , H04N9/68 , H04N9/69 , H04N9/73
CPC分类号： H04N5/3675 , G06T5/002 , G06T5/007 , G06T5/20 , G06T2207/10024 , H04N1/60 , H04N9/646 , H04N9/68 , H04N9/69 , H04N9/73
摘要： Disclosed is an automatic digital image enhancement method, including: determining the defects existing in the image based on pixel values, such as pixel luminance values and pixel color values, of the input digital image, and making corrections based on the determination results. The method can process images of digital photos, digital videos and make enhancement on exposure and color of the images. The method disclosed can also improve quickly and apparently the visual quality and appearance of images.
摘要翻译：公开了一种自动数字图像增强方法，包括：基于输入数字图像的诸如像素亮度值和像素颜色值的像素值确定图像中存在的缺陷，并且基于确定结果进行校正。该方法可以处理数字照片，数字视频的图像，并对图像的曝光和颜色进行增强。所公开的方法还可以快速且明显地提高图像的视觉质量和外观。

64. 发明授权

US09251402B2 Association and prediction in facial recognition 有权
标题翻译：面部识别中的关联和预测
公开(公告)号：US09251402B2
公开(公告)日：2016-02-02
申请号：US13107800
申请日：2011-05-13
申请人： Jian Sun , Qi Yin , Xiaoou Tang
发明人： Jian Sun , Qi Yin , Xiaoou Tang
IPC分类号： G06K9/00 , G06T7/00 , G06K9/46
CPC分类号： G06K9/00281 , G06K9/00221 , G06K9/00248 , G06K9/00288 , G06K9/46 , G06T7/74
摘要： Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations employ an identity data set having a plurality of images representing different intrapersonal settings. A predictive model may associate one or more input images with one or more images in the identity data set. Some implementations may use an appearance-prediction approach to compare two images by predicting an appearance of at least one of the images under an intrapersonal setting of the other image. Further, some implementations may utilize a likelihood-prediction approach for comparing images that generates a classifier for an input image based on an association of an input image with the identity data set.
摘要翻译：一些实现提供了解决在面部识别期间遇到的内在变化的技术和布置。例如，一些实现采用具有表示不同内部设置的多个图像的身份数据集。预测模型可以将一个或多个输入图像与身份数据集中的一个或多个图像相关联。一些实现可以使用外观预测方法来通过在另一图像的内部设置下预测至少一个图像的外观来比较两个图像。此外，一些实现可以利用似然预测方法来比较基于输入图像与身份数据集的关联来生成用于输入图像的分类器的图像。

65. 发明申请

US20120288167A1 POSE-ROBUST RECOGNITION 有权
标题翻译： POSE-ROBUST认可
公开(公告)号：US20120288167A1
公开(公告)日：2012-11-15
申请号：US13107856
申请日：2011-05-13
申请人： Jian Sun , Qi Yin , Xiaoou Tang
发明人： Jian Sun , Qi Yin , Xiaoou Tang
IPC分类号： G06K9/62
CPC分类号： G06K9/00281 , G06K9/00221 , G06K9/00228 , G06K9/00268 , G06K9/00288 , G06K9/42 , G06K9/46 , G06K9/6212 , G06T3/60
摘要： Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations transform at least a portion of an image from a first intrapersonal condition to a second intrapersonal condition to enable more accurate comparison with another image. Some implementations may determine a pose category of an input image and may modify at least a portion of the input image to a different pose category of another image for comparing the input image with the other image. Further, some implementations provide for compression of data representing at least a portion of the input image to decrease the dimensionality of the data.
摘要翻译：一些实现提供了解决在面部识别期间遇到的内在变化的技术和布置。例如，一些实施方式将图像的至少一部分从第一内在条件转换为第二内在条件，以使得能够与另一图像更准确地进行比较。一些实现可以确定输入图像的姿态类别，并且可以将输入图像的至少一部分修改为另一图像的不同姿势类别，以将输入图像与另一图像进行比较。此外，一些实施方案提供了表示输入图像的至少一部分的数据的压缩以降低数据的维度。

66. 发明授权

US08024152B2 Tensor linear laplacian discrimination for feature extraction 有权
标题翻译：特征提取的张量线性拉普拉斯判别
公开(公告)号：US08024152B2
公开(公告)日：2011-09-20
申请号：US12235927
申请日：2008-09-23
申请人： Wei Zhang , Zhouchen Lin , Xiaoou Tang
发明人： Wei Zhang , Zhouchen Lin , Xiaoou Tang
IPC分类号： G06F17/16 , G06F17/11
CPC分类号： G06F17/30598 , G06K9/6234
摘要： Tensor linear Laplacian discrimination for feature extraction is disclosed. One embodiment comprises generating a contextual distance based sample weight and class weight, calculating a within-class scatter using the at least one sample weight and a between-class scatter for multiple classes of data samples in a sample set using the class weight, performing a mode-k matrix unfolding on scatters and generating at least one orthogonal projection matrix.
摘要翻译：公开了用于特征提取的张量线性拉普拉斯判别。一个实施例包括生成基于上下文距离的样本权重和类权重，使用所述至少一个样本权重来计算类内散度，以及使用类权重在样本集合中的多类数据样本之间进行类间散射，执行 mode-k矩阵在散射上展开并生成至少一个正交投影矩阵。

67. 发明申请

US20110206276A1 HYBRID GRAPH MODEL FOR UNSUPERVISED OBJECT SEGMENTATION 有权
标题翻译：用于不间断对象分类的混合图形模型
公开(公告)号：US20110206276A1
公开(公告)日：2011-08-25
申请号：US13100891
申请日：2011-05-04
申请人： Zhouchen Lin , Guangcan Liu , Xiaoou Tang
发明人： Zhouchen Lin , Guangcan Liu , Xiaoou Tang
IPC分类号： G06K9/34
CPC分类号： G06K9/34 , G06K9/342 , G06K9/6296 , G06T7/11 , G06T7/162 , G06T7/194
摘要： This disclosure describes an integrated framework for class-unsupervised object segmentation. The class-unsupervised object segmentation occurs by integrating top-down constraints and bottom-up constraints on object shapes using an algorithm in an integrated manner. The algorithm describes a relationship among object parts and superpixels. This process forms object shapes with object parts and oversegments pixel images into the superpixels, with the algorithm in conjunction with the constraints. This disclosure describes computing a mask map from a hybrid graph, segmenting the image into a foreground object and a background, and displaying the foreground object from the background.
摘要翻译：本公开描述了用于无人监督的对象分割的集成框架。通过以集成的方式使用算法将自上而下的约束和自下而上的对象形状约束集成在一起，进行类无监督对象分割。该算法描述了对象部分和超像素之间的关系。该过程通过对象部分形成对象形状，并将像素图像监视到超像素中，该算法与约束相结合。本公开描述了从混合图计算掩模图，将图像分割成前景对象和背景，以及从背景显示前景对象。

68. 发明授权

US07970727B2 Method for modeling data structures by creating digraphs through contexual distances 有权
标题翻译：通过连续距离创建二维图来建立数据结构的方法
公开(公告)号：US07970727B2
公开(公告)日：2011-06-28
申请号：US12032705
申请日：2008-02-18
申请人： Deli Zhao , Zhouchen Lin , Xiaoou Tang
发明人： Deli Zhao , Zhouchen Lin , Xiaoou Tang
IPC分类号： G06F17/10
CPC分类号： G06K9/6248
摘要： A method for modeling data affinities and data structures. In one implementation, a contextual distance may be calculated between a selected data point in a data sample and a data point in a contextual set of the selected data point. The contextual set may include the selected data point and one or more data points in the neighborhood of the selected data point. The contextual distance may be the difference between the selected data point's contribution to the integrity of the geometric structure of the contextual set and the data point's contribution to the integrity of the geometric structure of the contextual set. The process may be repeated for each data point in the contextual set of the selected data point. The process may be repeated for each selected data point in the data sample. A digraph may be created using a plurality of contextual distances generated by the process.
摘要翻译：一种用于建模数据亲和度和数据结构的方法。在一个实现中，可以在数据样本中的所选数据点和所选数据点的上下文集合中的数据点之间计算上下文距离。所述上下文集合可以包括所选数据点和所选数据点附近的一个或多个数据点。上下文距离可以是所选数据点对上下文集合的几何结构的完整性的贡献与数据点对上下文集合的几何结构的完整性的贡献之间的差异。可以对所选数据点的上下文集合中的每个数据点重复该过程。可以对数据样本中的每个选定的数据点重复该过程。可以使用由该过程生成的多个上下文距离来创建有向图。

69. 发明授权

US07720283B2 Background removal in a live video 有权
标题翻译：在实时视频中进行后台删除
公开(公告)号：US07720283B2
公开(公告)日：2010-05-18
申请号：US11469371
申请日：2006-08-31
申请人： Jian Sun , Heung-Yeung Shum , Xiaoou Tang , Weiwei Zhang
发明人： Jian Sun , Heung-Yeung Shum , Xiaoou Tang , Weiwei Zhang
IPC分类号： G06K9/34
CPC分类号： G06K9/38 , G06T7/11 , G06T7/90 , G06T2207/10016
摘要： Exemplary systems and methods segment a foreground from a background image in a video sequence. In one implementation, a system refines a segmentation boundary between the foreground and the background image by attenuating background contrast while preserving contrast of the segmentation boundary itself, providing an accurate background cut of live video in real time. A substitute background may then be merged with the segmented foreground within the live video. The system can apply an adaptive background color mixture model to improve segmentation of foreground from background under various background changes, such as camera movement, illumination change, and movement of small objects in the background.
摘要翻译：示例性系统和方法从视频序列中的背景图像分割前景。在一个实现中，系统通过衰减背景对比度同时保留分割边界本身的对比度来优化前景和背景图像之间的分割边界，从而实时提供实况视频的精确背景切割。然后可以将替代背景与实时视频中的分段前景合并。该系统可以应用自适应背景颜色混合模型，从而在各种背景变化（例如相机移动，照明变化和背景中的小物体的移动）下改进背景的前景分割。

70. 发明申请

US20090132213A1 METHOD FOR MODELING DATA STRUCTURES USING LOCAL CONTEXTS 有权
标题翻译：使用本地参数建模数据结构的方法
公开(公告)号：US20090132213A1
公开(公告)日：2009-05-21
申请号：US12032705
申请日：2008-02-18
申请人： Deli Zhao , Zhouchen Lin , Xiaoou Tang
发明人： Deli Zhao , Zhouchen Lin , Xiaoou Tang
IPC分类号： G06F17/10
CPC分类号： G06K9/6248
摘要： A method for modeling data affinities and data structures. In one implementation, a contextual distance may be calculated between a selected data point in a data sample and a data point in a contextual set of the selected data point. The contextual set may include the selected data point and one or more data points in the neighborhood of the selected data point. The contextual distance may be the difference between the selected data point's contribution to the integrity of the geometric structure of the contextual set and the data point's contribution to the integrity of the geometric structure of the contextual set. The process may be repeated for each data point in the contextual set of the selected data point. The process may be repeated for each selected data point in the data sample. A digraph may be created using a plurality of contextual distances generated by the process.
摘要翻译：一种用于建模数据亲和度和数据结构的方法。在一个实现中，可以在数据样本中的所选数据点和所选数据点的上下文集合中的数据点之间计算上下文距离。所述上下文集合可以包括所选数据点和所选数据点附近的一个或多个数据点。上下文距离可以是所选数据点对上下文集合的几何结构的完整性的贡献与数据点对上下文集合的几何结构的完整性的贡献之间的差异。可以对所选数据点的上下文集合中的每个数据点重复该过程。可以对数据样本中的每个选定的数据点重复该过程。可以使用由该过程生成的多个上下文距离来创建有向图。

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