	US 12,288,404 B2
	Resolution upscaling for event detection
Nathan Otterness, Mebane, NC (US); Jonathan White, Fort Collins, CO (US); Dave Clark, Cary, NC (US); and Jim van Welzen, Sandy, UT (US)
Assigned to Nvidia Corporation, Santa Clara, CA (US)
Filed by Nvidia Corporation, Santa Clara, CA (US)
Filed on Sep. 15, 2021, as Appl. No. 17/476,251.
Application 17/476,251 is a continuation of application No. 16/747,143, filed on Jan. 20, 2020, granted, now 11,170,471.
Prior Publication US 2022/0005156 A1, Jan. 6, 2022
Int. Cl. G06V 20/62 (2022.01); A63F 13/53 (2014.01); G06T 3/4007 (2024.01); G06V 20/40 (2022.01); G06V 30/148 (2022.01)

CPC G06V 20/635 (2022.01) [A63F 13/53 (2014.09); G06T 3/4007 (2013.01); G06V 20/41 (2022.01); G06V 20/46 (2022.01); G06V 30/153 (2022.01); G06V 20/44 (2022.01)]

20 Claims

1. A computer-implemented method, comprising:

receiving video data corresponding to a session;

determining an event region in a frame of the video data, the event region including one or more objects associated with a type of event;

upscaling image data for the event region to obtain a higher graphical resolution for the event region;

processing the upscaled image data to recognize the one or more objects present in the event region;

determining, using a neural network, an inference of an occurrence of an event, the neural network determining the inference based on two or more correlated event cues and the one or more objects recognized from the event region in the higher graphical resolution; and

providing event data corresponding to the determined event.