Enhanced control of video subtitles

A method for presenting on-screen text during video playback, the method comprising:

• detecting, by at least one processor of a first device, a user request to automatically determine when to activate and deactivate presentation of on-screen text during playback of a video using a streaming video application;
• providing, by at least one processor of a second device, a machine learning model trained to predict first times when the user is likely to activate the on-screen text and second times when the user is likely to deactivate the on-screen text based on identifying text features, audio features, video frame features, and user features at times when users have activated and deactivated subtitles;
• inputting, by the at least one processor of the second device, to the machine learning model, text data of video titles, audio data of the video titles, video frames of the video titles, and user data associated with users of the streaming video application, the user data comprising on-screen text preferences of the user;
• generating, by the at least one processor of the second device, using the machine learning model, based on comparisons of the text data, the audio data, the video frames, and the user data to the text features, the audio features, the video frame features, and the user features, predictions for the first times and the second times;
• sending, by the at least one processor of the second device, to the first device, a bitstream comprising streaming video and indications of the first times and the second times;
• activating, by the at least one processor of the first device, based on the first times, presentation of the on-screen text during presentation of the streaming video;
• and
• deactivating, by the at least one processor of the first device, based on the second times, presentation of the on-screen text during presentation of the streaming video.

A system for presenting on-screen text during video playback, the system comprising:

• a first device comprising first memory coupled to at least one processor;
• and
• a second device, wherein the at least one processor is configured to:
• detect a user request to automatically determine when to activate and deactivate presentation of on-screen text during playback of a video using a streaming video application;
• receive a bitstream from the second device, the bitstream comprising streaming video and indications of first times when the user is likely to activate the on-screen text and second times when the user is likely to deactivate the on-screen text
• activate, based on the first times, presentation of the on-screen text during presentation of the streaming video;
• and
• deactivate, based on the second times, presentation of the on-screen text during presentation of the streaming video, wherein the second device is configured to:
• provide a machine learning model trained to predict the first times and the second times based on identifying text features, audio features, video frame features, and user features at times when users have activated and deactivated subtitles;
• input, to the machine learning model, text data of video titles, audio data of the video titles, video frames of the video titles, and user data associated with users of the streaming video application, the user data comprising on-screen text preferences of the user;
• generate, using the machine learning model, based on comparisons of the text data, the audio data, the video frames, and the user data to the text features, the audio features, the video frame features, and the user features, predictions for the first times and the second times;
• and
• send, to the first device, the bitstream.