AI responsive layout for cross-platform environments

A non-transitory computer-readable medium storing a computer program for execution by a processor to perform a method, the non-transitory computer-readable medium comprising:

• program instructions for executing a video game to generate a video frame for presentation on a first device of a first platform, wherein the video frame is generated for a game play of the video game by a user;
• program instructions for determining a target device, wherein the target device is of a second platform;
• program instructions for mapping the video frame from the first device to the target device, wherein the video frame that is mapped is presented on the target device;
• program instructions for determining an area of focus in a scene of the game play presented in the video frame based on a game context of the scene in the game play;
• program instructions for classifying an asset in the area of focus using a computer vision model implementing artificial intelligence;
• program instructions for determining that the asset is important in the game play of the video game using the computer vision model;
• program instructions for dumb scaling the video frame for presentation on the target device;
• program instructions for determining that the asset in the dumb scaled video frame that is mapped to the target device does not meet a threshold of visibility;
• and
• program instructions for modifying the dumb scaled video frame that is mapped so that the asset meets the threshold of visibility.

A computer system comprising:

• a processor;
• memory coupled to the processor and having stored therein instructions that, if executed by the computer system, cause the computer system to execute a method for implementing a graphics pipeline, comprising:
• executing a video game to generate a video frame for presentation on a first device of a first platform, wherein the video frame is generated for a game play of the video game by a user;
• determining a target device, wherein the target device is of a second platform;
• mapping the video frame from the first device to the target device, wherein the video frame that is mapped is presented on the target device;
• determining an area of focus in a scene of the game play presented in the video frame based on a game context of the scene in the game play;
• dumb scaling the video frame for presentation on the target device;
• determining an asset in the area of focus is important in the game play of the video game using a computer vision model implementing artificial intelligence;
• classifying the asset using the computer vision model;
• determining that the asset in the dumb scaled video frame that is mapped to the target device does not meet a threshold of visibility;
• and
• modifying the dumb scaled video frame that is mapped so that the asset meets the threshold of visibility.