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公开(公告)号：US10529381B2
公开(公告)日：2020-01-07
申请号：US16160882
申请日：2018-10-15
申请人： Avigilon Corporation
IPC分类号： H04N9/80 , G11B27/22 , G06F3/0482 , G06F3/0484 , G11B27/10 , G11B27/30 , G11B27/34 , G06Q10/00 , G11B27/28 , H04N7/18 , G06T7/292 , G06T7/73
摘要： A method, system and computer program product for interactively identifying same individuals or objects present in video recordings is disclosed. When a thumbnail in a set of thumbnails is selected, new information is obtained. The new information may be that an individual or object is present in the portion of the video recording associated with the thumbnail. A search can be carried out for the individual or object based on the new information. The search generates new match likelihoods for each of displayed thumbnails within a user interface page. The displayed thumbnails are re-ordered based on the new match likelihoods.
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公开(公告)号：US11526549B2
公开(公告)日：2022-12-13
申请号：US16355470
申请日：2019-03-15
申请人： Avigilon Corporation
发明人： Tulio de Souza Alcantara , Courtney Anne Adame Cheng , Roger David Donaldson , David Flanagan , Ken Jessen , Eric Sjue
IPC分类号： G06F16/78 , G06F16/783 , G06N3/08 , G06F16/9032 , G06F16/74 , G06V20/40
摘要： Methods, systems, and techniques for performing a facet search include receiving facet search commencement user input indicating that a search for a facet is to commence; in response to the facet search commencement user input, searching one or more video recordings for the facet; and displaying, on a display, facet image search results depicting the facet, wherein the facet image search results are selected from the one or more video recordings. An artificial neural network may be used for the facet search, and that network may be trained by generating a facet image training set that comprises training images, with the training images depicting a type of facet common to the training images; and training, by using the facet image training set, that neural network to classify the type of facet when a sample image comprising the type of facet is input to that network.
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3.发明授权公开(公告)号：US10810255B2
公开(公告)日：2020-10-20
申请号：US15705076
申请日：2017-09-14
申请人： Avigilon Corporation
IPC分类号： G06F16/78 , G06F16/783 , G06K9/00 , G06F16/738 , G06F16/583 , H04N7/18
摘要： Methods, systems, and techniques for interfacing with a user to facilitate an image search for a person-of-interest. A face thumbnail of the person-of-interest, a body thumbnail of the person-of-interest, and image search results of the person-of-interest are concurrently displayed on a display to help a user identify the person-of-interest who appears in one or more of a collection of video recordings. The user may provide feedback to the system regarding whether image search results show the person-of-interest, which feedback may be used to refine the image search results.
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4.发明申请公开(公告)号：US20190080003A1
公开(公告)日：2019-03-14
申请号：US15705076
申请日：2017-09-14
申请人： Avigilon Corporation
发明人： Tulio Alcantara , Moussa Doumbouya , Eric Sjue , Hannah Valbonesi , Chris Weston
摘要： Methods, systems, and techniques for interfacing with a user to facilitate an image search for a person-of-interest. A face thumbnail of the person-of-interest, a body thumbnail of the person-of-interest, and image search results of the person-of-interest are concurrently displayed on a display to help a user identify the person-of-interest who appears in one or more of a collection of video recordings. The user may provide feedback to the system regarding whether image search results show the person-of-interest, which feedback may be used to refine the image search results.
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5.发明申请公开(公告)号：US20190294631A1
公开(公告)日：2019-09-26
申请号：US16355470
申请日：2019-03-15
申请人： Avigilon Corporation
发明人： Tulio de Souza Alcantara , Courtney Anne Adame Cheng , Roger David Donaldson , David Flanagan , Ken Jessen , Eric Sjue
IPC分类号： G06F16/783 , G06K9/00 , G06F16/74 , G06F16/9032 , G06N3/08
摘要： Methods, systems, and techniques for performing a facet search include receiving facet search commencement user input indicating that a search for a facet is to commence; in response to the facet search commencement user input, searching one or more video recordings for the facet; and displaying, on a display, facet image search results depicting the facet, wherein the facet image search results are selected from the one or more video recordings. An artificial neural network may be used for the facet search, and that network may be trained by generating a facet image training set that comprises training images, with the training images depicting a type of facet common to the training images; and training, by using the facet image training set, that neural network to classify the type of facet when a sample image comprising the type of facet is input to that network.
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公开(公告)号：US10121515B2
公开(公告)日：2018-11-06
申请号：US15368357
申请日：2016-12-02
申请人： Avigilon Corporation
IPC分类号： H04N9/80 , G11B27/22 , G06F3/0482 , G06F3/0484 , G11B27/10 , G11B27/30 , G11B27/34
摘要： A method, system and computer program product for interactively identifying same individuals or objects present in video recordings is disclosed. When a thumbnail in a set of thumbnails is selected, new information is obtained. The new information may be that an individual or object is present in the portion of the video recording associated with the thumbnail. A search can be carried out for the individual or object based on the new information. The search generates new match likelihoods for each of displayed thumbnails within a user interface page. The displayed thumbnails are re-ordered based on the new match likelihoods.
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公开(公告)号：US20170352380A1
公开(公告)日：2017-12-07
申请号：US15368357
申请日：2016-12-02
申请人： Avigilon Corporation
IPC分类号： G11B27/22 , G06F3/0484 , G06F3/0482 , G11B27/10 , G11B27/34 , G11B27/30
CPC分类号： G11B27/22 , G06F3/0482 , G06F3/04847 , G06Q10/00 , G06T7/292 , G11B27/102 , G11B27/28 , G11B27/3081 , G11B27/309 , G11B27/34 , H04N7/181 , H04N7/188
摘要： A method, system and computer program product for interactively identifying same individuals or objects present in video recordings is disclosed. When a thumbnail in a set of thumbnails is selected, new information is obtained. The new information may be that an individual or object is present in the portion of the video recording associated with the thumbnail. A search can be carried out for the individual or object based on the new information. The search generates new match likelihoods for each of displayed thumbnails within a user interface page. The displayed thumbnails are re-ordered based on the new match likelihoods.
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