Methods and systems for utilizing live embedded tracking data within a live sports video stream
A computing system receives a video stream of a game. The computing system generates tracking data corresponding to the video stream using one or more artificial intelligence models. The computing system generates interactive video data by combining the video stream of the game with the tracking data. The computing system causes a media player to render graphics corresponding to the tracking data over the video stream by sending the interactive video data to a client device executing the media player.
1. A method comprising:
receiving, by a computing system, a video stream of a game;
generating, by the computing system, tracking data corresponding to the video stream using one or more artificial intelligence models;
generating, by the computing system, interactive video data by multiplexing the video stream of the game with the tracking data to generate a multiplexed data stream, wherein the multiplexing includes mapping the tracking data with the video stream on a packet-by-packet basis; and
causing, by the computing system, a media player to render graphics corresponding to the tracking data over the video stream by sending the interactive video data including the multiplexed data stream to a client device executing the media player.
2. The method of claim 1 , wherein multiplexing the video stream with the tracking data to generate the multiplexed data stream comprises:
adding the mapping of the tracking data with the video stream to the video stream as a subtitle track within the video stream.
3. The method of claim 1 , wherein generating, by the computing system, the tracking data corresponding to the video stream using the one or more artificial intelligence models comprises:
generating a JavaScript Object Notation (JSON) file comprising the tracking data.
4. The method of claim 3 , causing, by the computing system, the media player to render the graphics corresponding to the tracking data over the video stream comprises:
causing the client device to unpack the JSON file to identify metadata events in the tracking data.
5. The method of claim 1 , wherein generating, by the computing system, the tracking data corresponding to the video stream using the one or more artificial intelligence models comprises:
generating player and ball positional data corresponding to locational coordinates of each player and the ball.
6. The method of claim 1 , wherein generating, by the computing system, the tracking data corresponding to the video stream using the one or more artificial intelligence models comprises:
generating event data based on the tracking data, wherein the event data captures events that occur within the game.
7. A non-transitory computer readable medium comprising one or more sequences of instructions, that, when executed by one or more processors, causes a computing system to perform operations comprising:
receiving, by the computing system, a video stream of a game;
generating, by the computing system, tracking data corresponding to the video stream using one or more artificial intelligence models;
generating, by the computing system, interactive video data by combining multiplexing the video stream of the game with the tracking data to generate a multiplexed data stream, wherein the multiplexing includes mapping the tracking data with the video stream on a packet-by-packet basis; and
causing, by the computing system, a media player to render graphics corresponding to the tracking data over the video stream by sending the interactive video data including the multiplexed data stream to a client device executing the media player.
8. The non-transitory computer readable medium of claim 7 , wherein multiplexing the video stream with the tracking data to generate the multiplexed data stream comprises:
adding the mapping of the tracking data with the video stream to the video stream as a subtitle track within the video stream.
9. The non-transitory computer readable medium of claim 7 , wherein generating, by the computing system, the tracking data corresponding to the video stream using the one or more artificial intelligence models comprises:
generating a JavaScript Object Notation (JSON) file comprising the tracking data.
10. The non-transitory computer readable medium of claim 9 , causing, by the computing system, the media player to render the graphics corresponding to the tracking data over the video stream comprises:
causing the client device to unpack the JSON file to identify metadata events in the tracking data.
11. The non-transitory computer readable medium of claim 7 , wherein generating, by the computing system, the tracking data corresponding to the video stream using the one or more artificial intelligence models comprises:
generating player and ball positional data corresponding to locational coordinates of each player and the ball.
12. The non-transitory computer readable medium of claim 7 , wherein generating, by the computing system, the tracking data corresponding to the video stream using the one or more artificial intelligence models comprises:
generating event data based on the tracking data, wherein the event data captures events that occur within the game.
13. A system comprising:
a processor; and
a memory having programming instructions stored thereon, which, when executed by the processor, causes a computing system to perform operations comprising:
receiving a video stream of a game;
generating tracking data corresponding to the video stream using one or more artificial intelligence models;
generating interactive video data by multiplexing the video stream of the game with the tracking data to generate a multiplexed data stream, wherein the multiplexing includes mapping the tracking data with the video stream on a packet-by-packet basis; and
causing a media player to render graphics corresponding to the tracking data over the video stream by sending the interactive video data including the multiplexed data stream to a client device executing the media player.
14. The system of claim 13 , wherein multiplexing the video stream with the tracking data to generate the multiplexed data stream comprises: adding the mapping of the tracking data with the video stream to the video stream as a subtitle track within the video stream.
15. The system of claim 13 , wherein generating the tracking data corresponding to the video stream using the one or more artificial intelligence models comprises:
generating a JavaScript Object Notation (JSON) file comprising the tracking data.
16. The system of claim 15 , causing the media player to render the graphics corresponding to the tracking data over the video stream comprises:
causing the client device to unpack the JSON file to identify metadata events in the tracking data.
17. The system of claim 13 , wherein generating the tracking data corresponding to the video stream using the one or more artificial intelligence models comprises:
generating player and ball positional data corresponding to locational coordinates of each player and the ball; and
generating event data based on the tracking data, wherein the event data captures events that occur within the game.