Real-time dynamic video generation based on user preferences

A computer program product comprising one or more non-transitory computer readable storage media having program instructions collectively stored on the one or more non-transitory computer readable storage media, the program instructions executable to:

• generate a first set of keywords based on a user's stored preferences;
• prioritize the first set of keywords into at least one subset of keywords;
• input the at least one subset of keywords into a bi-directional attention-based long short-term memory recurrent neural network;
• generate at least one story comprising story-based text generated by inferring relationship between words within a subset of keywords via the bi-directional attention-based long short-term memory recurrent neural network;
• input the story-based text from the at least one story into a video generative model conditioned with images of objects referred to by the at least one story;
• and
• generate a video comprising a plurality of generated video frames via the video generative model.

A system comprising:

• a processor set, one or more non-transitory computer readable storage media, and program instructions collectively stored on the one or more non-transitory computer readable storage media, the program instructions executable to:
• generate a first set of keywords based on a user's stored preferences;
• prioritize the first set of keywords into at least one subset of keywords;
• input the at least one subset of keywords into a bi-directional attention-based long short-term memory recurrent neural network;
• generate at least one story comprising story-based text generated by inferring relationship between words within a subset of keywords via the bi-directional attention-based long short-term memory recurrent neural network;
• input the story-based text from the at least one story into a video generative model conditioned with images of objects referred to by the at least one story;
• and
• generate a video comprising a plurality of generated video frames via the video generative model.