Disney Enterprises, Inc.

Lori L Huck

Anthony M Accardo

Mara Idai Lucien

Rebecca Bever

Alexander Niedt

Sonia Doshi

Alexis L Johnson

Paige Townsend

Various embodiments set forth systems and techniques for personalizing censorship of digital content. The techniques include generating, based on a user characteristic, a censorship profile associated with a user, wherein the censorship profile identifies a censorship element; determining a censorship feature associated with the censorship element, wherein the censorship feature is to be activated during playback of digital content that includes the censorship element; identifying, based on temporal boundaries data and temporal facet data associated with a digital content item, one or more portions of the digital content item that include at least one element matching the censorship element; and activating the censorship feature during playback of the one or more portions of the digital content item.

Personalized censorship of digital content

Embodiments provide for evaluation of scripts. A script for producing media content is received, and a plurality of tags related to content of the script is determined. A quality score is generated for the script by processing the plurality of tags using a first model, and one or more modifications for the script are generated based on the quality score and the plurality of tags.

Script analytics to generate quality score and report

A system for assessing performer density includes a computing platform having processing hardware and a memory storing software code. The processing hardware is configured to execute the software code to receive content and content data, the content data identifying one or more performer(s) depicted or referenced in the content, and determine, using the content and the content data, one or more segment(s) of the content in which the performer(s) is/are depicted or referenced. The processing hardware is further configured to execute the software code to infer, for each determined segment(s) of the content, a respective importance of the performer(s) in a respective context of each determined segment(s), and calculate, based on the determined segment(s) of the content and the respective importance of the performer(s), a respective density score of each performer with respect to the content.

Performer density assessment

Growing community of inventors

Los Angeles, CA, United States of America

Lori L Huck