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公开(公告)号：US11823453B2
公开(公告)日：2023-11-21
申请号：US17590275
申请日：2022-02-01
发明人： Oron Nir , Maria Zontak , Tucker Cunningham Burns , Apar Singhal , Lei Zhang , Irit Ofer , Avner Levi , Haim Sabo , Ika Bar-Menachem , Eylon Ami , Ella Ben Tov
IPC分类号： G06V20/40 , G06F18/214 , G06F18/24 , G06V20/70
CPC分类号： G06V20/41 , G06F18/214 , G06F18/24765 , G06V20/46 , G06V20/70 , G06V20/47
摘要： The technology described herein is directed to a media indexer framework including a character recognition engine that automatically detects and groups instances (or occurrences) of characters in a multi-frame animated media file. More specifically, the character recognition engine automatically detects and groups the instances (or occurrences) of the characters in the multi-frame animated media file such that each group contains images associated with a single character. The character groups are then labeled and used to train an image classification model. Once trained, the image classification model can be applied to subsequent multi-frame animated media files to automatically classifying the animated characters included therein.
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公开(公告)号：US11450107B1
公开(公告)日：2022-09-20
申请号：US17197478
申请日：2021-03-10
发明人： Yonit Hoffman , Irit Ofer , Avner Levi , Haim Sabo , Reut Amior
IPC分类号： G06V20/40 , G06K9/62 , G06F16/71 , G06V10/764
摘要： A system for indexing animated content receives detections extracted from a media file, where each one of the detections includes an image extracted from a corresponding frame of the media file that corresponds to a detected instance of an animated character. The system determines, for each of the received detections, an embedding defining a set of characteristics for the detected instance. The embedding associated with each detection is provided to a grouping engine that is configured to dynamically configure at least one grouping parameter based on a total number of the detections received. The grouping engine is also configured to sort the detections into groups using the grouping parameter and the embedding for each detection. A character ID is assigned to each one of the groups of detections, and the system indexes the groups of detections in a database in association with the character ID assigned to each group.
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公开(公告)号：US12020483B2
公开(公告)日：2024-06-25
申请号：US17896666
申请日：2022-08-26
发明人： Yonit Hoffman , Irit Ofer , Avner Levi , Haim Sabo , Reut Amior
CPC分类号： G06V20/46 , G06F16/71 , G06F18/22 , G06F18/24 , G06V10/764 , G06V10/7715 , G06V20/41 , G06V30/19127
摘要： A system for indexing animated content receives detections extracted from a media file, where each one of the detections includes an image extracted from a corresponding frame of the media file that corresponds to a detected instance of an animated character. The system determines, for each of the received detections, an embedding defining a set of characteristics for the detected instance. The embedding associated with each detection is provided to a grouping engine that is configured to dynamically configure at least one grouping parameter based on a total number of the detections received. The grouping engine is also configured to sort the detections into groups using the grouping parameter and the embedding for each detection. A character ID is assigned to each one of the groups of detections, and the system indexes the groups of detections in a database in association with the character ID assigned to each group.
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公开(公告)号：US11954893B2
公开(公告)日：2024-04-09
申请号：US17843270
申请日：2022-06-17
发明人： Oron Nir , Maria Zontak , Tucker Cunningham Burns , Apar Singhal , Lei Zhang , Irit Ofer , Avner Levi , Haim Sabo , Ika Bar-Menachem , Eylon Ami , Ella Ben Tov , Anika Zaman
IPC分类号： G06V10/00 , G06F18/214 , G06F18/24 , G06V10/25 , G06V10/774 , G06V20/40
CPC分类号： G06V10/25 , G06F18/2155 , G06F18/24 , G06V10/774 , G06V20/41 , G06V20/46
摘要： The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.
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公开(公告)号：US20210056362A1
公开(公告)日：2021-02-25
申请号：US16831105
申请日：2020-03-26
发明人： Oron Nir , Maria Zontak , Tucker Cunningham Burns , Apar Singhal , Lei Zhang , Irit Ofer , Avner Levi , Haim Sabo , Ika Bar-Menachem , Eylon Ami , Ella Ben Tov , Anika Zaman
摘要： The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.
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公开(公告)号：US20210056313A1
公开(公告)日：2021-02-25
申请号：US16831353
申请日：2020-03-26
发明人： Oron Nir , Maria Zontak , Tucker Cunningham Burns , Apar Singhal , Lei Zhang , Irit Ofer , Avner Levi , Haim Sabo , Ika Bar-Menachem , Eylon Ami , Ella Ben Tov
摘要： The technology described herein is directed to a media indexer framework including a character recognition engine that automatically detects and groups instances (or occurrences) of characters in a multi-frame animated media file. More specifically, the character recognition engine automatically detects and groups the instances (or occurrences) of the characters in the multi-frame animated media file such that each group contains images associated with a single character. The character groups are then labeled and used to train an image classification model. Once trained, the image classification model can be applied to subsequent multi-frame animated media files to automatically classifying the animated characters included therein.
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公开(公告)号：US11755643B2
公开(公告)日：2023-09-12
申请号：US16921248
申请日：2020-07-06
IPC分类号： G06F16/00 , G06F16/71 , G06F16/783 , G06V10/25 , G06V20/40
CPC分类号： G06F16/71 , G06F16/7837 , G06V10/25 , G06V20/41 , G06V20/48
摘要： A video indexing system identifies groups of frames within a video frame sequence captured by a static camera during a same scene. Context metadata is generated for each frame in each group based on an analysis of fewer than all frames in the group. The frames are indexed in a database in association with the generated context metadata.
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公开(公告)号：US11386609B2
公开(公告)日：2022-07-12
申请号：US17138207
申请日：2020-12-30
发明人： Mattan Serry , Zvi Figov , Irit Ofer
摘要： An approach using 3D algorithms to solve 2D head localization problems is disclosed. A system can extrapolate aspects of one part of an object, e.g., extract characteristics of a person's head, using a 2D input image of another part of the object, e.g., a 2D image of the person's face. The system then selects an appropriate 3D model by the use of facial features detected in an image of a person's face. Using the selected 3D model and the 3D rotation angles provided by a face detector, the system rotates the model and then projects the model to a 2D shape. The system then scales and translates, e.g., transforms, the 2D shape to match the 2D face bounding box. Then, using the transformed 2D shape, the system extracts a bounding box for the extracted portion of an object, e.g., the head of the person depicted in the 2D input image.
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公开(公告)号：US11366989B2
公开(公告)日：2022-06-21
申请号：US16831105
申请日：2020-03-26
发明人： Oron Nir , Maria Zontak , Tucker Cunningham Burns , Apar Singhal , Lei Zhang , Irit Ofer , Avner Levi , Haim Sabo , Ika Bar-Menachem , Eylon Ami , Ella Ben Tov , Anika Zaman
摘要： The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.
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公开(公告)号：US11270121B2
公开(公告)日：2022-03-08
申请号：US16831353
申请日：2020-03-26
发明人： Oron Nir , Maria Zontak , Tucker Cunningham Burns , Apar Singhal , Lei Zhang , Irit Ofer , Avner Levi , Haim Sabo , Ika Bar-Menachem , Eylon Ami , Ella Ben Tov
摘要： The technology described herein is directed to a media indexer framework including a character recognition engine that automatically detects and groups instances (or occurrences) of characters in a multi-frame animated media file. More specifically, the character recognition engine automatically detects and groups the instances (or occurrences) of the characters in the multi-frame animated media file such that each group contains images associated with a single character. The character groups are then labeled and used to train an image classification model. Once trained, the image classification model can be applied to subsequent multi-frame animated media files to automatically classifying the animated characters included therein.
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