Semantically generated video method and system

A computer-implemented system comprising one or more processor-based devices configured to:

• receive a communication comprising a plurality of syntactical elements, wherein the communication comprises a request that a computer-implemented system generate an imaginative scenario that is embodied by a video, wherein the communication further comprises a description of the imaginative scenario;
• interpret automatically the communication by applying at least one trained neural network, wherein the at least one trained neural network is trained using a training set that comprises training syntactical elements and training images and the at least one trained neural network learns during training correspondences between each of a plurality of subsets of the training syntactical elements and one or more patterns of pixels in the training images;
• generate automatically, by applying the learned correspondences of the at least one trained neural network, a region of pixels that is in accordance with one or more contexts that are associated with the imaginative scenario;
• generate automatically, by applying the learned correspondences of the at least one trained neural network, a sequence of images that is in accordance with the region of pixels;
• and
• provide to a user a video stream that comprises the region of pixels and the sequence of images.

A computer-implemented system comprising one or more processor-based devices configured to:

• receive a communication comprising a plurality of syntactical elements, wherein the communication comprises a request that a computer-implemented system generate an imaginative scenario that is embodied by a video, wherein the communication further comprises a description of the imaginative scenario;
• interpret automatically the communication by applying at least one neural network, wherein the at least one neural network is trained using a training set that comprises training syntactical elements and training images and the at least one trained neural network learns during training correspondences between each of a plurality of subsets of the training syntactical elements and one or more patterns of pixels in the training images;
• generate automatically, by applying the learned correspondences of the at least one trained neural network, a region of pixels that is in accordance with one or more contexts that are associated with the imaginative scenario;
• generate automatically, by applying the learned correspondences of the at least one trained neural network, a sequence of images that is in accordance with the region of pixels;
• and
• provide to a user a video streamthat comprises the region of pixels and the sequence of images and that further comprises syntactical elements that correspond to the region of pixels and the sequence of images.