Methods, systems, and media for determining perceptual quality indicators of video content items

A system comprising:

• a memory that stores instructions;
• and
• one or more processors that execute the instructions to:
• receive a video content item comprising a plurality of frames;
• determine, using a first subnetwork of a deep neural network, a content quality indicator for each frame of the plurality of frames of the video content item, wherein the content quality indicator corresponds to one or more semantic content indicators for each frame of the plurality of frames of the video content item;
• determine, using a second subnetwork of the deep neural network, a video distortion indicator for each frame of the plurality of frames of the video content item, wherein the video distortion indicator indicates a quality of the frame based on distortions contained within the frame;
• generate an indication of quality for the video content item based on at least the video distortion indicator for one or more frames of the plurality of frames and the content quality indicator for one or more frames of the plurality of frames;
• and
• modify, based on the indication of quality, the video content item or a transmission strategy associated with the video content item by executing the instructions to at least:
• adjust a transmission bitrate for the video content item based on the indication of quality;
• adjust a transmission resolution for the video content item based on the indication of quality;
• generate a compressed version of the video content item based on the indication of quality;
• apply distortion correction to the video content item based on the indication of quality;
• or
• transcode the video content item from a first format to a second format based on the indication of quality.

Non-transitory computer-readable storage media including instructions that, when executed by one or more processors, cause the one or more processors to:

• receive a video content item comprising a plurality of frames;
• determine, using a first subnetwork of a deep neural network, a content quality indicator for each frame of the plurality of frames of the video content item, wherein the content quality indicator corresponds to one or more semantic content indicators for each frame of the plurality of frames of the video content item;
• determine, using a second subnetwork of the deep neural network, a video distortion indicator for each frame of the plurality of frames of the video content item, wherein the video distortion indicator indicates a quality of the frame based on distortions contained within the frame;
• generate an indication of quality for the video content item based on at least the video distortion indicator for one or more frames of the plurality of frames and the content quality indicator for one or more frames of the plurality of frames;
• and
• modify, based on the indication of quality, the video content item or a transmission strategy associated with the video content item by executing the instructions to at least:
• adjust a transmission bitrate for the video content item based on the indication of quality;
• adjust a transmission resolution for the video content item based on the indication of quality;
• generate a compressed version of the video content item based on the indication of quality;
• apply distortion correction to the video content item based on the indication of quality;
• or
• transcode the video content item from a first format to a second format based on the indication of quality.