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公开(公告)号：US09430474B2
公开(公告)日：2016-08-30
申请号：US14156333
申请日：2014-01-15
Applicant: Microsoft Corporation
Inventor： Eran Borenstein , Achiezer Brandt , Eitan Sharon , Mehmet Tek
IPC: G06F17/30
CPC classification number: G06F17/30023 , G06F17/30784
Abstract: An automated content recognition system accurately and reliably generates content identification information for multimedia content without accessing the multimedia content or a reliable source of the multimedia content. The system receives content-based queries having fingerprints of multimedia content. The system compares the individual queries to one another to match queries and thereby form query clusters that correspond to the same multimedia content. The system aggregates identification information from the queries in a cluster to generate reliable content identification information from otherwise unreliable identification information.
Abstract translation: 自动内容识别系统准确可靠地生成用于多媒体内容的内容识别信息，而不访问多媒体内容或多媒体内容的可靠来源。 该系统接收具有多媒体内容指纹的基于内容的查询。 系统将各个查询彼此进行比较以匹配查询，从而形成对应于相同多媒体内容的查询集群。 系统从集群中的查询中聚集识别信息，以从其他不可靠的标识信息生成可靠的内容标识信息。
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公开(公告)号：US09413477B2
公开(公告)日：2016-08-09
申请号：US14306942
申请日：2014-06-17
Applicant: Microsoft Corporation
Inventor： Achiezer Brandt , Eran Borenstein , Eitan Sharon , Mehmet Tek , Sunaad Nataraju
CPC classification number: H04H60/59 , G06K9/00765 , G06K9/4604 , G06K9/4652 , H04H60/37 , H04H2201/90 , H04N5/23267
Abstract: Technology described herein provides techniques for screen detection. This could be a dynamic screen, such as a display screen of an electronic device, or a static screen such as a street sign. In one aspect, a screen is detected in frames of image data. An active image and/or an average color image may be formed based on frames of image data. A set of lines that are candidate for boundaries of a screen are identified in the frames. The active image and/or an average color is integrated on both sides of each line in the set of lines to form integration results. A set of screen candidates are formed based on the integration results. Screens in the screen candidates are scored according to a criterion. One or top few of the screens in the set of screen candidates is selected based on the scoring.
Abstract translation: 本文描述的技术提供了用于屏幕检测的技术。 这可以是动态屏幕，例如电子设备的显示屏幕，或诸如街道标志的静态屏幕。 在一个方面，在图像数据的帧中检测屏幕。 可以基于图像数据的帧来形成活动图像和/或平均彩色图像。 在帧中标识作为屏幕边界候选的一组线。 活动图像和/或平均颜色被集成在该组线中的每一行的两侧以形成积分结果。 基于积分结果形成一组屏幕候选。 屏幕候选人中的屏幕根据标准进行评分。 根据评分选择屏幕候选组中的一个或几个屏幕。
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公开(公告)号：US20140293087A1
公开(公告)日：2014-10-02
申请号：US14306942
申请日：2014-06-17
Applicant: Microsoft Corporation
Inventor： Achiezer Brandt , Eran Borenstein , Eitan Sharon , Mehmet Tek , Sunaad Nataraju
CPC classification number: H04H60/59 , G06K9/00765 , G06K9/4604 , G06K9/4652 , H04H60/37 , H04H2201/90 , H04N5/23267
Abstract: Technology described herein provides techniques for screen detection. This could be a dynamic screen, such as a display screen of an electronic device, or a static screen such as a street sign. In one aspect, a screen is detected in frames of image data. An active image and/or an average color image may be formed based on frames of image data. A set of lines that are candidate for boundaries of a screen are identified in the frames. The active image and/or an average color is integrated on both sides of each line in the set of lines to form integration results. A set of screen candidates are formed based on the integration results. Screens in the screen candidates are scored according to a criterion. One or top few of the screens in the set of screen candidates is selected based on the scoring.
Abstract translation: 本文描述的技术提供了用于屏幕检测的技术。 这可以是动态屏幕，例如电子设备的显示屏幕，或诸如街道标志的静态屏幕。 在一个方面，在图像数据的帧中检测屏幕。 可以基于图像数据的帧来形成活动图像和/或平均彩色图像。 在帧中标识作为屏幕边界候选的一组线。 活动图像和/或平均颜色被集成在该组线中的每一行的两侧以形成积分结果。 基于积分结果形成一组屏幕候选。 屏幕候选人中的屏幕根据标准进行评分。 根据评分选择屏幕候选组中的一个或几个屏幕。
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Patent Agency Ranking
公开(公告)号：US20130326573A1
公开(公告)日：2013-12-05
申请号：US13666735
申请日：2012-11-01
Applicant: MICROSOFT CORPORATION
Inventor： Eitan Sharon , Eran Borenstein , Mehmet Tek , Achiezer Brandt
IPC: H04N21/00
CPC classification number: H04N21/6581 , G06F17/30784 , H04H60/37 , H04H60/59 , H04H60/73 , H04N21/23418 , H04N21/26258 , H04N21/44008
Abstract: Systems and methods for identifying and searching video are disclosed. A video search and identification system includes a catalog representing relationships between video, data and/or objects to enable querying and search based on visual representations of video as well as data or other information associated with the video. In one example, the catalog includes video nodes, metadata nodes and card nodes, although additional or fewer node types may be used. A visual-based video identification system is provided to identify content in video sources. An unidentified video source is accessed and visual fingerprints of one or more frames are generated as query signatures for matching against a base set of known signatures. Confidence measures are generated at the bit level to assist in query signature processing.
Abstract translation: 公开了识别和搜索视频的系统和方法。 视频搜索和识别系统包括表示视频，数据和/或对象之间的关系的目录，以便基于视频的视觉表示以及与视频相关联的数据或其他信息来进行查询和搜索。 在一个示例中，目录包括视频节点，元数据节点和卡节点，尽管可以使用附加或更少的节点类型。 提供基于视觉的视频识别系统来识别视频源中的内容。 访问未识别的视频源，并且生成一个或多个帧的视觉指纹作为用于与已知签名的基本集匹配的查询签名。 在位级别生成置信度度量以辅助查询签名处理。
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公开(公告)号：US09311708B2
公开(公告)日：2016-04-12
申请号：US14260171
申请日：2014-04-23
Applicant: Microsoft Corporation
Inventor： Achiezer Brandt , Eran Borenstein , Eitan Sharon , Mehmet Tek , Sunaad Nataraju
CPC classification number: G06T7/0024 , G06T7/20 , G06T7/30 , G06T2207/10016 , H04N5/23248
Abstract: Techniques for aligning images are disclosed. The frames might have been captured by a video camera on a hand held device, as one example. Collaboratively aligning related frames of image data is taught. Collaborative alignment determines a correspondence between pixels in pairs of the frames of image data, as well as a confidence in that correspondence. A coordinate system (or transformation) is assigned to each of the frames that is consistent with the correspondences between each of the frame pairs. The confidence in the respective correspondences may be used to provide a weighting to a correspondence when assigning the coordinate systems. Outlying frames may be discarded, and the process repeated for a robust solution.
Abstract translation: 公开了用于对准图像的技术。 作为一个示例，帧可能已经被手持设备上的摄像机捕获。 教授协调地对准图像数据的相关帧。 协同对齐确定图像数据帧成对的像素之间的对应关系，以及对该对应关系的置信度。 将坐标系（或变换）分配给与每个帧对之间的对应关系一致的每个帧。 在分配对应关系时的置信度可用于在分配坐标系时对对应关系提供加权。 可能会丢弃外围框架，并重复此过程以获得可靠的解决方案。
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公开(公告)号：US20150310614A1
公开(公告)日：2015-10-29
申请号：US14260171
申请日：2014-04-23
Applicant: Microsoft Corporation
Inventor： Achiezer Brandt , Eran Borenstein , Eitan Sharon , Mehmet Tek , Sunaad Nataraju
CPC classification number: G06T7/0024 , G06T7/20 , G06T7/30 , G06T2207/10016 , H04N5/23248
Abstract: Techniques for aligning images are disclosed. The frames might have been captured by a video camera on a hand held device, as one example. Collaboratively aligning related frames of image data is taught. Collaborative alignment determines a correspondence between pixels in pairs of the frames of image data, as well as a confidence in that correspondence. A coordinate system (or transformation) is assigned to each of the frames that is consistent with the correspondences between each of the frame pairs. The confidence in the respective correspondences may be used to provide a weighting to a correspondence when assigning the coordinate systems. Outlying frames may be discarded, and the process repeated for a robust solution.
Abstract translation: 公开了用于对准图像的技术。 作为一个示例，帧可能已经被手持设备上的摄像机捕获。 教授协调地对准图像数据的相关帧。 协同对齐确定图像数据帧成对的像素之间的对应关系，以及对该对应关系的置信度。 将坐标系（或变换）分配给与每个帧对之间的对应关系一致的每个帧。 在分配对应关系时的置信度可用于在分配坐标系时对对应关系提供加权。 可能会丢弃外围框架，并重复此过程以获得可靠的解决方案。
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公开(公告)号：US20150199351A1
公开(公告)日：2015-07-16
申请号：US14156333
申请日：2014-01-15
Applicant: Microsoft Corporation
Inventor： Eran Borenstein , Achiezer Brandt , Eitan Sharon , Mehmet Tek
IPC: G06F17/30
CPC classification number: G06F17/30023 , G06F17/30784
Abstract: An automated content recognition system accurately and reliably generates content identification information for multimedia content without accessing the multimedia content or a reliable source of the multimedia content. The system receives content-based queries having fingerprints of multimedia content. The system compares the individual queries to one another to match queries and thereby form query clusters that correspond to the same multimedia content. The system aggregates identification information from the queries in a cluster to generate reliable content identification information from otherwise unreliable identification information.
Abstract translation: 自动内容识别系统准确可靠地生成用于多媒体内容的内容识别信息，而不访问多媒体内容或多媒体内容的可靠来源。 该系统接收具有多媒体内容指纹的基于内容的查询。 系统将各个查询彼此进行比较以匹配查询，从而形成对应于相同多媒体内容的查询集群。 系统从集群中的查询中聚集识别信息，以从其他不可靠的标识信息生成可靠的内容标识信息。
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公开(公告)号：US08719884B2
公开(公告)日：2014-05-06
申请号：US13666735
申请日：2012-11-01
Applicant: Microsoft Corporation
Inventor： Eitan Sharon , Eran Borenstein , Mehmet Tek , Achiezer Brandt
IPC: H04N7/173
CPC classification number: H04N21/6581 , G06F17/30784 , H04H60/37 , H04H60/59 , H04H60/73 , H04N21/23418 , H04N21/26258 , H04N21/44008
Abstract: Systems and methods for identifying and searching video are disclosed. A video search and identification system includes a catalog representing relationships between video, data and/or objects to enable querying and search based on visual representations of video as well as data or other information associated with the video. In one example, the catalog includes video nodes, metadata nodes and card nodes, although additional or fewer node types may be used. A visual-based video identification system is provided to identify content in video sources. An unidentified video source is accessed and visual fingerprints of one or more frames are generated as query signatures for matching against a base set of known signatures. Confidence measures are generated at the bit level to assist in query signature processing.
Abstract translation: 公开了识别和搜索视频的系统和方法。 视频搜索和识别系统包括表示视频，数据和/或对象之间的关系的目录，以便基于视频的视觉表示以及与视频相关联的数据或其他信息来进行查询和搜索。 在一个示例中，目录包括视频节点，元数据节点和卡节点，尽管可以使用附加或更少的节点类型。 提供基于视觉的视频识别系统来识别视频源中的内容。 访问未识别的视频源，并且生成一个或多个帧的视觉指纹作为用于与已知签名的基本集匹配的查询签名。 在位级别生成置信度度量以辅助查询签名处理。
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