Verizon Patent and Licensing Inc.

Alexander Zilbershtein

Vinay Polavarapu

Paul Duree

Christian Egeler

Pai Moodlagiri

Sergey Virodov

Adwait Ashish Murudkar

Gang Lin

William Patrick Dildine

Alexey Imaev

Richard Kern

Paul Cannon

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.

Methods and systems for identification and augmentation of video content

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.

Methods and systems for generating stitched video content from multiple overlapping and concurrently-generated video instances

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Buffalo Grove, IL, United States of America

Alexander Zilbershtein