Methods, systems, and media for generating video classifications using multimodal video analysis

A system for classifying videos, the system comprising:

• a server that includes a hardware processor, wherein the hardware processor is configured to:
• receive, from a computing device, a video identifier;
• parse a video associated with the video identifier into an audio portion and a plurality of image frames;
• analyze the plurality of images frames associated with the video using (i) an optical character recognition technique to obtain first textual information corresponding to text appearing in at least one of the plurality of image frames and (ii) an image classifier to obtain, for each of a plurality of objects appearing in at least one of the plurality of frames of the video, a probability that an object appearing in at least one of the plurality of images falls within an image class;
• concurrently with analyzing the plurality of image frames associated with the video, analyze the audio portion of the video using an automated speech recognition technique to obtain second textual information corresponding to words spoken in the video;
• combine the first textual information, the probability of each of the plurality of objects appearing in the at least one of the plurality of frames of the video, and the second textual information to obtain a combined analysis output for the video;
• determine, using a neural network, a safety score for each of a plurality of categories that the video contains content belonging to a category of the plurality of categories, wherein the combined analysis output is input into the neural network;
• and
• in response to receiving the video identifier, transmit a plurality of safety scores corresponding to the plurality of categories to the computing device for the video associated with the video identifier.

A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for classifying videos, the method comprising:

• receiving, from a computing device, a video identifier;
• parsing a video associated with the video identifier into an audio portion and a plurality of image frames;
• analyzing the plurality of images frames associated with the video using (i) an optical character recognition technique to obtain first textual information corresponding to text appearing in at least one of the plurality of image frames and (ii) an image classifier to obtain, for each of a plurality of objects appearing in at least one of the plurality of frames of the video, a probability that an object appearing in at least one of the plurality of images falls within an image class;
• concurrently with analyzing the plurality of image frames associated with the video, analyzing the audio portion of the video using an automated speech recognition technique to obtain second textual information corresponding to words spoken in the video;
• combining the first textual information, the probability of each of the plurality of objects appearing in the at least one of the plurality of frames of the video, and the second textual information to obtain a combined analysis output for the video;
• determining, using a neural network, a safety score for each of a plurality of categories that the video contains content belonging to a category of the plurality of categories, wherein the combined analysis output is input into the neural network;
• and
• in response to receiving the video identifier, transmitting a plurality of safety scores corresponding to the plurality of categories to the computing device for the video associated with the video identifier.