The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 25, 2019

Filed:

Jan. 19, 2018
Applicant:

Render Inc., Oakland, CA (US);

Inventors:

Daniel Josh Rosen, Oakland, CA (US);

Jonathan Rosen, San Francisco, CA (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2013.01); H04N 21/8549 (2011.01); G11B 27/031 (2006.01); G06N 20/00 (2019.01); G06F 16/78 (2019.01); G06F 16/783 (2019.01);
U.S. Cl.
CPC ...
H04N 21/8549 (2013.01); G06F 16/78 (2019.01); G06F 16/783 (2019.01); G06N 20/00 (2019.01); G11B 27/031 (2013.01);
Abstract

A video processing system generates and automatically updates videos. A client inputs a smart script that defines general preferences and information to include in a video. The video processing system generates a model of the story from the smart script. A story model comprises story beats that define order and characteristics of information that is presented in a story. The video processing system accesses client content (e.g., video clips, images, and testimonials from a client website) and assigns content items to story beats. The story model and associated content is rendered into a video. The video processing system can then adapt the story model in response to viewer feedback, external events, or other client-supplied parameters. Adapting the story model may include reordering, adding, or removing story beats, or altering parameter values associated with story beat characteristics. Thus, the video processing system can iteratively improve and update a video automatically.


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