Systems and methods for processing content using convolutional neural networks

A system comprising:

• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, cause the system to perform:
• obtaining a set of video frames at a first resolution;
• processing the set of video frames using a convolutional neural network to output one or more signals corresponding to the set of video frames, the convolutional neural network including (i) a set of two-dimensional convolutional layers, (ii) a set of three-dimensional convolutional layers, and (iii) a set of three-dimensional de-convolutional layers, wherein the three-dimensional convolutional layers reduce the set of video frames to a second resolution, and wherein the three-dimensional de-convolutional layers upsample the set of video frames;
• and
• obtaining the one or more outputted signals corresponding to the set of video frames from the convolutional neural network.

A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform:

• obtaining a set of video frames at a first resolution;
• processing the set of video frames using a convolutional neural network to output one or more signals corresponding to the set of video frames, the convolutional neural network including (i) a set of two-dimensional convolutional layers, (ii) a set of three-dimensional convolutional layers, and (iii) a set of three-dimensional de-convolutional layers, wherein the three-dimensional convolutional layers reduce the set of video frames to a second resolution, and wherein the three-dimensional de-convolutional layers upsample the set of video frames;
• and
• obtaining the one or more outputted signals corresponding to the set of video frames from the convolutional neural network.