Disney Enterprises, Inc.

Aaron Michael Baker

Romann Matthew Weber

Jacek Krzysztof Naruniec

Dennis Li

Farnood Salehi

Mary Nell Borst

Graziana Mignone

Dustin Clint Tucker

Various embodiments set forth systems and techniques for evaluating media content items. The techniques include receiving visual feedback associated with one or more audience members viewing a first media content item; analyzing the visual feedback to generate one or more emotion signals based on the visual feedback; and generating a set of features associated with the one or more audience members viewing the first media content item based on the one or more emotion signals.

Behavior-based computer vision model for content selection

Techniques are disclosed for characterizing audience engagement with one or more characters in a media content item. In some embodiments, an audience engagement characterization application processes sensor data; such as video data capturing the faces of one or more audience members consuming a media content item, to generate an audience emotion signal. The characterization application also processes the media content item to generate a character emotion signal associated with one or more characters in the media content item. Then, the characterization application determines an audience engagement score based on an amount of alignment and/or misalignment between the audience emotion signal and the character emotion signal.

Characterizing audience engagement based on emotional alignment with characters

Growing community of inventors

Raleigh, NC, United States of America

Aaron Michael Baker