Disney Enterprises, Inc.

Zachary N Toback

Brian M Kennedy

Michael J Strein

Craig L Beardsley

Ryan N McCormick

Concetta Maratta

Jared L Wiener

Fabian Westerwelle

A hybrid cloud-based media production system includes a facility extension platform having a hardware processor and a memory storing a software code. The hardware processor executes the software code to identify multicast production media flow(s) for processing in a cloud-based virtual production environment, to identify cloud-based resource(s) for processing one or more cloud production media flow(s) corresponding to the multicast production media flow(s), in the cloud-based virtual production environment, and to coordinate provisioning of the cloud-based virtual production environment with the identified cloud-based resource(s). The hardware processor also executes the software code to align, using a cloud permissible timing protocol, the timing of the cloud production media flow(s) in the cloud-based virtual production environment, and to process the cloud production media flow(s) in the cloud-based virtual production environment using the identified cloud-based resource(s).

Hybrid cloud-based media production

In one implementation, a content processing system includes a computing platform having a hardware processor and a system memory storing a content classification software code, a natural language processor, and a computer vision analyzer. The hardware processor executes the content classification software code to receive content inputs from multiple content sources, and, for each content input, to parse the content input for metadata describing the content input, obtain a description of language-based content included in the content input from the natural language processor, and obtain a description of visual content included in the content input from the computer vision analyzer. The content classification software code further associates predetermined annotation tags with the content input based on the metadata, the description of the language-based content, and the description of the visual content, and assigns the content input to a predetermined subject matter classification based on the associated annotation tags.

Content processing automation

Growing community of inventors

Montclair, NJ, United States of America

Zachary N Toback