Timothy J Meo

US Patent:

20190304157, Oct 3, 2019

Filed:

Dec 21, 2018

Appl. No.:

16/230945

Inventors:

- Menlo Park CA, US
Timothy J. Meo - Kendall Park NJ, US
Aswin Nadamuni Raghavan - Princeton NJ, US
Alex C. Tozzo - Philadelphia PA, US
Amir Tamrakar - Princeton NJ, US
David A. Salter - Basking Ridge PA, US
Kyung-Yoon Kim - North York, CA

International Classification:

G06T 13/80
G06F 17/27
G06K 9/00
G06N 3/08
G06N 3/04

Abstract:

This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.