AUTOMATED GENERATION OF GAME EVENT RECORDINGS
First Claim
1. On a service computing system, a method for recording a game event, the method comprising:
- receiving, from a client computing device, game data representing a game event generated during gameplay of a video game on the client computing device;
providing the game data as input to a machine-learning analyzer to determine whether the game event is an event of interest, the machine-learning analyzer previously-trained using previously-recorded game events deemed popular based on community feedback, the machine-learning analyzer determining that the game event is an event of interest based on the game event having characteristics that match characteristics of the previously-recorded game events deemed popular; and
issuing a command to generate a recording of the game event in response to the machine-learning analyzer determining that the game event is an event of interest.
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Abstract
Game data representing a game event generated during gameplay of a video game on a client computing device is received from the client computing device. The game data is provided as input to a machine-learning analyzer to determine whether the game event is an event of interest. The machine-learning analyzer is previously-trained using previously-recorded game events deemed popular based on community feedback. The machine-learning analyzer determines that the game event is an event of interest based on the game event having characteristics that match characteristics of the previously-recorded game events deemed popular. A command to generate a recording of the game event is issued in response to the machine-learning analyzer determining that the game event is an event of interest.
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Citations
20 Claims
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1. On a service computing system, a method for recording a game event, the method comprising:
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receiving, from a client computing device, game data representing a game event generated during gameplay of a video game on the client computing device; providing the game data as input to a machine-learning analyzer to determine whether the game event is an event of interest, the machine-learning analyzer previously-trained using previously-recorded game events deemed popular based on community feedback, the machine-learning analyzer determining that the game event is an event of interest based on the game event having characteristics that match characteristics of the previously-recorded game events deemed popular; and issuing a command to generate a recording of the game event in response to the machine-learning analyzer determining that the game event is an event of interest. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A service computing system, comprising:
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a logic machine; and a storage machine holding instructions executable by the logic machine to; receive, from a client computing device, game data representing a game event generated during gameplay of a video game on the client computing device, the game event visually presented from a first perspective during gameplay of the video game on the client computing device; provide the game data as input to a machine-learning analyzer to determine whether the game event is an event of interest; and generate a recording of the game event based on the game data in response to the machine-learning analyzer determining that the game event is an event of interest, the recording of the game event having a second perspective different than the first perspective. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. On a service computing system, a method for recording a game event, the method comprising:
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receiving, from a client computing device, game data representing a game event generated during gameplay of a video game on the client computing device, the game event visually presented from a first perspective during gameplay of the video game on the client computing device; providing the game data as input to a machine-learning analyzer to determine whether the game event is an event of interest, the machine-learning analyzer previously-trained using previously-recorded game events deemed popular based on community feedback, the machine-learning analyzer determining that the game event is an event of interest based on the game event having characteristics that match characteristics of the previously-recorded game events deemed popular; and generating a recording of the game event based on the game data in response to the machine-learning analyzer determining that the game event is an event of interest, the recording of the game event having a second perspective different than the first perspective. - View Dependent Claims (19, 20)
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Specification