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

IPC: G06K9/00 ,  G06K9/32 ,  G06K9/62 ,  G06N20/00

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.

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

IPC: G06K9/00 ,  G06N20/00 ,  G06K9/62 ,  G06K9/32

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.