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公开(公告)号：US20200265238A1
公开(公告)日：2020-08-20
申请号：US16278377
申请日：2019-02-18
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vinay Polavarapu , Christian Egeler , Sergey Virodov , William Patrick Dildine , Adwait Ashish Murudkar , Paul Duree , Gang Lin , Paul Cannon , Alexander Zilbershtein , Pai Moodlagiri
Abstract: An exemplary object identification system detects, based on a machine learning model, an object depicted within a video frame. The system identifies, based on the detecting of the object, a class label of the object and a region of interest, within the video frame, of the object. The system identifies, within the region of interest of the object, set of features of the object. The system compares the set of features of the object with a plurality of predefined features within a data store associated with the class label of the object. The system determines, based on the comparing of the set of features of the object with the plurality of predefined features within the data store, whether the object is configured to trigger an augmentation of video content associated with the video frame. Corresponding methods and systems are also disclosed.
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公开(公告)号：US10382680B2
公开(公告)日：2019-08-13
申请号：US15339607
申请日：2016-10-31
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vinay Polavarapu , Alexey Imaev , Alexander Zilbershtein , Paul Duree , Richard Kern
IPC: G06T3/40 , G06T7/38 , G11B27/10 , H04N5/232 , G11B27/031
Abstract: An exemplary video generation system (the “system”) receives a plurality of overlapping and concurrently-captured video instances from a plurality of video capture devices in a static configuration. The system temporally synchronizes concurrently-captured video data from each video instance to form a plurality of image sets and identifies a particular image set from the plurality of image sets. The system then performs a camera registration process on the particular image set in order to determine camera registration parameter data. Based on the camera registration parameter data determined using the camera registration process with respect to the particular image set, the system then performs a video stitching process on each of the image sets within the plurality of image sets to form stitched video content representative of a scene captured by the plurality of video capture devices in the static configuration. Corresponding methods and systems are also disclosed.
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公开(公告)号：US11087137B2
公开(公告)日：2021-08-10
申请号：US16278377
申请日：2019-02-18
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vinay Polavarapu , Christian Egeler , Sergey Virodov , William Patrick Dildine , Adwait Ashish Murudkar , Paul Duree , Gang Lin , Paul Cannon , Alexander Zilbershtein , Pai Moodlagiri
Abstract: An exemplary object identification system detects, based on a machine learning model, an object depicted within a video frame. The system identifies, based on the detecting of the object, a class label of the object and a region of interest, within the video frame, of the object. The system identifies, within the region of interest of the object, set of features of the object. The system compares the set of features of the object with a plurality of predefined features within a data store associated with the class label of the object. The system determines, based on the comparing of the set of features of the object with the plurality of predefined features within the data store, whether the object is configured to trigger an augmentation of video content associated with the video frame. Corresponding methods and systems are also disclosed.
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4.发明申请公开(公告)号：US20180122078A1
公开(公告)日：2018-05-03
申请号：US15339607
申请日：2016-10-31
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vinay Polavarapu , Alexey Imaev , Alexander Zilbershtein , Paul Duree , Richard Kern
IPC: G06T7/00 , G11B27/031 , G11B27/10 , G06T3/00 , H04N5/232
CPC classification number: H04N5/23238 , G06T3/4038 , G06T7/38 , G06T2200/32 , G06T2207/10016 , G11B27/031
Abstract: An exemplary video generation system (the “system”) receives a plurality of overlapping and concurrently-captured video instances from a plurality of video capture devices in a static configuration. The system temporally synchronizes concurrently-captured video data from each video instance to form a plurality of image sets and identifies a particular image set from the plurality of image sets. The system then performs a camera registration process on the particular image set in order to determine camera registration parameter data. Based on the camera registration parameter data determined using the camera registration process with respect to the particular image set, the system then performs a video stitching process on each of the image sets within the plurality of image sets to form stitched video content representative of a scene captured by the plurality of video capture devices in the static configuration. Corresponding methods and systems are also disclosed.
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