Methods, systems, and devices for identifying viewed action of a live event and adjusting a group of resources to augment presentation of the action of the live event

Abstract

Aspects of the subject disclosure may include, for example, obtaining a first group of video content streams of an event, determining a first point of view of a plurality of audience members of the event, and selecting a first portion of the first group of video content streams of the event according to the first point of view of the plurality of audience members. Further aspects can include aggregating the first portion of the first group of video content streams resulting in first aggregated video content, generating first augmented reality content from the first aggregated video content according to the first point of view, and providing the first augmented reality content to a communication device. The communication device can present the first augmented reality content. Other embodiments are disclosed.

What is claimed is: 
     
         1 . A method comprising:
 obtaining, by a processing system including a processor, a plurality of video content streams from a plurality of user devices;   analyzing, by the processing system, the plurality of video content streams to identify an object of interest to a plurality of users, wherein the analyzing is performed using machine learning (ML) techniques;   identifying, by the processing system, a video device in at least one of the plurality of video content streams;   providing, by the processing system, instructions to the video device to capture an image of the object; and   generating, by the processing system, augmented reality content from the plurality of video content streams, using the image of the object.   
     
     
         2 . The method of  claim 1 , further comprising determining, by the processing system, points of view of the plurality of user devices, wherein the analyzing comprises analyzing the points of view. 
     
     
         3 . The method of  claim 1 , further comprising aggregating, by the processing system, the plurality of video content streams resulting in aggregated video content, wherein the augmented reality content is generated from the aggregated video content. 
     
     
         4 . The method of  claim 3 , wherein the aggregating is performed using machine learning (ML) techniques. 
     
     
         5 . The method of  claim 1 , wherein the video device comprises an Internet of Things (IoT) device, and wherein the identifying further comprises selecting the video device based on a profile of the IoT device accessed from a database. 
     
     
         6 . The method of  claim 5 , wherein the IoT device comprises a drone comprising a video camera to capture images that include the object. 
     
     
         7 . The method of  claim 1 , wherein the augmented reality content comprises text information regarding the object. 
     
     
         8 . The method of  claim 1 , wherein the augmented reality content comprises a marking of the object. 
     
     
         9 . The method of  claim 1 , further comprising:
 identifying, by the processing system, an individual in at least one of the plurality of video content streams; and   providing, by the processing system, instructions to the individual to perform an action relevant to the object.   
     
     
         10 . The method of  claim 9 , wherein the identifying the individual comprises using an image recognition technique and accessing a profile of the individual from a database. 
     
     
         11 . A device, comprising:
 a processing system including a processor; and   a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:   obtaining a plurality of video content streams from a plurality of user devices;   analyzing the plurality of video content streams to identify an object of interest to a plurality of users;   identifying a video device in at least one of the plurality of video content streams;   providing instructions to the video device to capture an image of the object; and   generating augmented reality content from the plurality of video content streams, using the image of the object,   wherein the analyzing and the identifying are performed using machine learning (ML) techniques.   
     
     
         12 . The device of  claim 11 , wherein the operations further comprise determining points of view of the plurality of user devices, wherein the analyzing comprises analyzing the points of view. 
     
     
         13 . The device of  claim 11 , wherein the operations further comprise aggregating the plurality of video content streams resulting in aggregated video content, wherein the augmented reality content is generated from the aggregated video content. 
     
     
         14 . The device of  claim 13 , wherein the aggregating is performed using machine learning (ML) techniques. 
     
     
         15 . The device of  claim 11 , wherein the video device comprises an Internet of Things (IoT) device, and wherein the identifying further comprises selecting the video device based on a profile of the IoT device accessed from a database. 
     
     
         16 . A non-transitory machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
 obtaining a plurality of video content streams from a plurality of user devices;   analyzing the plurality of video content streams to identify an object of interest to a plurality of users;   identifying a video device in at least one of the plurality of video content streams;   providing instructions to the video device to capture an image of the object; and   generating augmented reality content from the plurality of video content streams, using the image of the object.   
     
     
         17 . The non-transitory machine-readable medium of  claim 16 , wherein the operations further comprise determining points of view of the plurality of user devices, wherein the analyzing comprises analyzing the points of view. 
     
     
         18 . The non-transitory machine-readable medium of  claim 16 , wherein the operations further comprise aggregating the plurality of video content streams resulting in aggregated video content, wherein the augmented reality content is generated from the aggregated video content. 
     
     
         19 . The non-transitory machine-readable medium of  claim 18 , wherein the analyzing and the aggregating are performed using machine learning (ML) techniques. 
     
     
         20 . The non-transitory machine-readable medium of  claim 16 , wherein the video device comprises an Internet of Things (IoT) device, and wherein the identifying further comprises selecting the video device based on a profile of the IoT device accessed from a database.