Environmentally aware tone mapping for a television display
According to an aspect, a method may include receiving, by a display device, ambient light measurement data from ambient light measurement devices. The method may include calculating distance measurements indicative of a measured distance between the ambient light measurement devices. The method may include generating a light measurement graph based on the ambient light measurement data and the distance measurements. The method may include generating a raw tone mapping function based on the light measurement graph, the generating using a spatially aware graph neural network. The method may include applying the raw tone mapping function to media content to generate a color corrected version of the media content. The method may include displaying on a display of the display device the color corrected version of the media content.
1 . A method comprising:
receiving, by a display device, ambient light measurement data from ambient light measurement devices;
calculating distance measurements indicative of a measured distance between the ambient light measurement devices;
generating a light measurement graph based on the ambient light measurement data and the distance measurements, the generating comprising:
determining that at least one of the ambient light measurement devices is located in a room with the display device;
determining that at least another of the ambient light measurement devices is not located in the room with the display device; and
filtering out the ambient light measurement data received from the ambient light measurement devices not located in the room for use as a basis for the generating of the light measurement graph;
generating a raw tone mapping function based on the light measurement graph, the generating using a spatially aware graph neural network;
applying the raw tone mapping function to media content to generate a color corrected version of the media content; and
displaying on a display of the display device the color corrected version of the media content.
2 . The method of claim 1 , wherein calculating the distance measurements comprises utilizing one of an ultra wide band indoor positioning measurement technique, or a high accuracy distance measurement technique.
3 . The method of claim 1 , wherein the display device receives the light measurement graph from a designated host device.
4 . The method of claim 3 , wherein the designated host device is a mobile computing device.
5 . The method of claim 1 , wherein receiving the ambient light measurement data comprises periodically polling the ambient light measurement devices.
6 . The method of claim 1 , wherein generating the color corrected version of the media content comprises providing a scaling vector to a display rendering engine of the display device.
7 . The method of claim 1 , wherein the spatially aware graph neural network is back propagated.
8 . The method of claim 1 , wherein the display device is a television set including a display.
9 . The method of claim 1 , wherein the ambient light measurement devices include at least one of a smartphone, a smart watch, or a smart home device.
10 . The method of claim 1 , wherein the display device is a network-connected display device.
11 . A non-transitory computer-readable medium storing executable instructions that when executed by at least one processor of a display device cause the at least one processor to execute operations, the operations comprising:
receiving, by the display device, ambient light measurement data from ambient light measurement devices;
calculating distance measurements indicative of a measured distance between the ambient light measurement devices;
generating a light measurement graph based on the ambient light measurement data and the distance measurements, the generating comprising:
determining that at least one of the ambient light measurement devices is located in a room with the display device;
determining that at least another of the ambient light measurement devices is not located in the room with the display device; and
filtering out the ambient light measurement data received from the ambient light measurement devices not located in the room for use as a basis for the generating of the light measurement graph;
generating a raw tone mapping function based on the light measurement graph, the generating using a spatially aware graph neural network;
applying the raw tone mapping function to media content to generate a color corrected version of the media content; and
displaying on a display of the display device the color corrected version of the media content.
12 . The non-transitory computer-readable medium of claim 11 , wherein calculating the distance measurements comprises utilizing one of an ultra wide band indoor positioning measurement technique, or a high accuracy distance measurement technique.
13 . The non-transitory computer-readable medium of claim 11 , wherein the display device receives the ambient light measurement data from a designated host device.
14 . The non-transitory computer-readable medium of claim 13 , wherein the designated host device is a mobile computing device.
15 . The non-transitory computer-readable medium of claim 11 , wherein receiving the ambient light measurement data comprises periodically polling the ambient light measurement devices.
16 . The non-transitory computer-readable medium of claim 11 , wherein generating the color corrected version of the media content comprises providing a scaling vector to a display rendering engine of the display device.
17 . A system comprising:
at least one processor; and
a non-transitory computer-readable medium storing instructions that when executed by the at least one processor cause the system to:
receive ambient light measurement data from ambient light measurement devices;
calculate distance measurements indicative of a measured distance between the ambient light measurement devices;
generate a light measurement graph based on the ambient light measurement data and the distance measurements, the generating comprising:
determining that at least one of the ambient light measurement devices is located in a room with a display device;
determining that at least another of the ambient light measurement devices is not located in the room with the display device; and
filtering out the ambient light measurement data received from the ambient light measurement devices not located in the room for use as a basis for the generating of the light measurement graph;
generate a raw tone mapping function based on the light measurement graph, the generating using a spatially aware graph neural network;
apply the raw tone mapping function to media content to generate a color corrected version of the media content; and
display on a display of the system the color corrected version of the media content.
18 . The system of claim 17 , wherein generating the color corrected version of the media content comprises providing a scaling vector to a display rendering engine.
19 . The system of claim 17 , wherein the spatially aware graph neural network is back propagated.