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1. 发明授权

US09111349B2 Object identification using 3-D curve matching 有权
标题翻译：使用3-D曲线匹配的对象识别
公开(公告)号：US09111349B2
公开(公告)日：2015-08-18
申请号：US13328133
申请日：2011-12-16
申请人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
发明人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06K9/00214 , G06K9/00785 , G06T7/564 , G06T2207/30236
摘要： The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.
摘要翻译：所要求保护的主题提供用于通过创建每个期望实例的3D曲线模型的数据库来识别2D图像中感兴趣对象的实例的系统和/或方法，并将感兴趣对象的图像与3D图像的3D曲线模型进行比较实例。本申请描述了从可能单个图像中识别和验证汽车的品牌和型号 - 在模型已经填充有许多车型和车型的测试图像的训练数据之后。在一个实施例中，识别系统可以通过通过将边缘点反向投影到实例的轮廓的视觉船体重建上来生成3D曲线模型来构造。系统和方法采用倒角距离和取向距离提供合理的验证性能，以及汽车尾灯的外观模型，以提高系统的鲁棒性。

2. 发明申请

US20130156329A1 OBJECT IDENTIFICATION USING 3-D CURVE MATCHING 有权
标题翻译：使用三维曲线匹配的对象标识
公开(公告)号：US20130156329A1
公开(公告)日：2013-06-20
申请号：US13328133
申请日：2011-12-16
申请人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
发明人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
IPC分类号： G06K9/68 , G06T15/00
CPC分类号： G06K9/00214 , G06K9/00785 , G06T7/564 , G06T2207/30236
摘要： The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.
摘要翻译：所要求保护的主题提供用于通过创建每个期望实例的3D曲线模型的数据库来识别2D图像中感兴趣对象的实例的系统和/或方法，并将感兴趣对象的图像与3D图像的3D曲线模型进行比较实例。本申请描述了从可能单个图像中识别和验证汽车的品牌和型号 - 在模型已经填充有许多车型和车型的测试图像的训练数据之后。在一个实施例中，识别系统可以通过通过将边缘点反向投影到实例的轮廓的视觉船体重建上来生成3D曲线模型来构造。系统和方法采用倒角距离和取向距离提供合理的验证性能，以及汽车尾灯的外观模型，以提高系统的鲁棒性。

3. 发明授权

US08838432B2 Image annotations on web pages 有权
标题翻译：网页上的图片注释
公开(公告)号：US08838432B2
公开(公告)日：2014-09-16
申请号：US13366385
申请日：2012-02-06
申请人： Simon John Baker , Juliet Anne Bernstein , Krishnan Ramnath , Anitha Kannan , Dahua Lin , Qifa Ke , Matthew Uyttendaele
发明人： Simon John Baker , Juliet Anne Bernstein , Krishnan Ramnath , Anitha Kannan , Dahua Lin , Qifa Ke , Matthew Uyttendaele
IPC分类号： G06F17/20 , G06F17/27 , G06F17/21
CPC分类号： G06F17/241 , G06F17/30247 , G06F17/30861
摘要： An image in a web page may be annotated after deriving information about an image when the image may be displayed on multiple web pages. The web pages that show the image may be analyzed in light of each other to determine metadata about the image, then various additional content may be added to the image. The additional content may be hyperlinks to other webpages. The additional content may be displayed as annotations on top of the images and in other manners. Many embodiments may perform searching, analysis, and classification of images prior to the web page being served.
摘要翻译：当图像可以在多个网页上显示时，可以在导出关于图像的信息之后注释网页中的图像。可以相互分析示出图像的网页以确定关于图像的元数据，然后可以向图像添加各种附加内容。附加内容可能是其他网页的超链接。附加内容可以在图像之上以其他方式显示为注释。许多实施例可以在提供网页之前执行图像的搜索，分析和分类。

4. 发明申请

US20110191271A1 IMAGE TAGGING BASED UPON CROSS DOMAIN CONTEXT 有权
标题翻译：基于跨域语言的图像标签
公开(公告)号：US20110191271A1
公开(公告)日：2011-08-04
申请号：US12699889
申请日：2010-02-04
申请人： Simon John Baker , Ashish Kapoor , Gang Hua , Dahua Lin
发明人： Simon John Baker , Ashish Kapoor , Gang Hua , Dahua Lin
IPC分类号： G06N5/02 , G06F15/18
CPC分类号： G06N5/04 , G06F3/04842 , G06K9/00677 , G06K9/72 , G06Q10/10
摘要： A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.
摘要翻译：本文所述的方法包括接收数字图像，其中所述数字图像包括对应于第一域的第一元素和对应于第二域的第二元素。该方法还包括至少部分地基于计算出的标签对应于第一元素的概率来自动地将标签分配给数字图像中的第一元素，其中通过利用被配置为推断的第一模型来计算概率第一个域中的元素的标签以及被配置为推断第二个域中的元素的标签的第二个模型。第一模型接收识别第一域中的元素和第二域中的元素之间的学习关系的数据，并且该概率由至少部分地基于学习关系的第一模型计算。

5. 发明授权

US08274603B2 Choosing video deinterlacing interpolant based on cost 有权
标题翻译：基于成本选择视频去隔行插值
公开(公告)号：US08274603B2
公开(公告)日：2012-09-25
申请号：US12057372
申请日：2008-03-28
申请人： Shengyang Dai , Simon John Baker , Sing Bing Kang
发明人： Shengyang Dai , Simon John Baker , Sing Bing Kang
IPC分类号： H04N7/01 , H04N11/20
CPC分类号： H04N7/0145 , H04N7/012
摘要： Deinterlacing of video involves converting interlaced video to progressive video by interpolating a missing pixel in the interlaced video from other pixels in the video. A plurality of interpolants are provided, each of which interpolates a pixel value from other pixels that are nearby in space and/or time. The data costs of using the various interpolants is calculated. A particular one of the interpolants is chosen based on the data costs associated with the various interpolants. The chosen interpolant is used to interpolate the value of the missing pixel. The interpolated pixel value may be refined based on exemplars. The exemplars may be taken from the video that is being deinterlaced.
摘要翻译：视频的去隔行扫描涉及通过从视频中的其他像素插入隔行视频中的丢失像素来将隔行扫描视频转换为逐行视频。提供了多个内插器，每个插值器都在空间和/或时间附近的其他像素中插入像素值。计算使用各种内插剂的数据成本。基于与各种内插剂相关联的数据成本来选择特定的一个内插剂。所选择的插值器用于内插缺失像素的值。可以基于示例来改进内插像素值。示例可以从正在被去隔行扫描的视频中取出。

6. 发明申请

US20090244367A1 CHOOSING VIDEO DEINTERLACING INTERPOLANT BASED ON COST 有权
标题翻译：根据成本选择视频去除插件
公开(公告)号：US20090244367A1
公开(公告)日：2009-10-01
申请号：US12057372
申请日：2008-03-28
申请人： Shengyang Dai , Simon John Baker , Sing Bing Kang
发明人： Shengyang Dai , Simon John Baker , Sing Bing Kang
IPC分类号： H04N7/01 , G06K9/32
CPC分类号： H04N7/0145 , H04N7/012
摘要： Deinterlacing of video involves converting interlaced video to progressive video by interpolating a missing pixel in the interlaced video from other pixels in the video. A plurality of interpolants are provided, each of which interpolates a pixel value from other pixels that are nearby in space and/or time. The data costs of using the various interpolants is calculated. A particular one of the interpolants is chosen based on the data costs associated with the various interpolants. The chosen interpolant is used to interpolate the value of the missing pixel. The interpolated pixel value may be refined based on exemplars. The exemplars may be taken from the video that is being deinterlaced.
摘要翻译：视频的去隔行扫描涉及通过从视频中的其他像素插入隔行视频中的丢失像素来将隔行扫描视频转换为逐行视频。提供了多个内插器，每个插值器都在空间和/或时间附近的其他像素中插入像素值。计算使用各种内插剂的数据成本。基于与各种内插剂相关联的数据成本来选择特定的一个内插剂。所选择的插值器用于内插缺失像素的值。可以基于示例来改进内插像素值。示例可以从正在被去隔行扫描的视频中取出。

7. 发明授权

US08645287B2 Image tagging based upon cross domain context 有权
标题翻译：基于跨域上下文的图像标记
公开(公告)号：US08645287B2
公开(公告)日：2014-02-04
申请号：US12699889
申请日：2010-02-04
申请人： Simon John Baker , Ashish Kapoor , Gang Hua , Dahua Lin
发明人： Simon John Baker , Ashish Kapoor , Gang Hua , Dahua Lin
IPC分类号： G06F17/00
CPC分类号： G06N5/04 , G06F3/04842 , G06K9/00677 , G06K9/72 , G06Q10/10
摘要： A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.
摘要翻译：本文所述的方法包括接收数字图像，其中所述数字图像包括对应于第一域的第一元素和对应于第二域的第二元素。该方法还包括至少部分地基于计算出的标签对应于第一元素的概率来自动地将标签分配给数字图像中的第一元素，其中通过利用被配置为推断的第一模型来计算概率第一个域中的元素的标签以及被配置为推断第二个域中的元素的标签的第二个模型。第一模型接收识别第一域中的元素和第二域中的元素之间的学习关系的数据，并且该概率由至少部分地基于学习关系的第一模型计算。

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