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. 01, 2021

Filed:

Sep. 03, 2019
Applicant:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Inventors:

Andrew Walkingshaw, Palo Alto, CA (US);

Arthur van Hoff, Palo Alto, CA (US);

Daniel Kopeinigg, Palo Alto, CA (US);

Assignee:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/86 (2014.01); H04N 19/162 (2014.01); H04N 19/167 (2014.01); H04N 19/17 (2014.01); H04N 19/597 (2014.01); H04N 13/139 (2018.01); H04N 13/368 (2018.01); H04N 13/366 (2018.01);
U.S. Cl.
CPC ...
H04N 19/86 (2014.11); H04N 13/139 (2018.05); H04N 13/368 (2018.05); H04N 19/162 (2014.11); H04N 19/167 (2014.11); H04N 19/17 (2014.11); H04N 19/597 (2014.11); H04N 13/366 (2018.05);
Abstract

A method includes receiving head-tracking data that describe one or more positions of people while the people are viewing a three-dimensional video. The method further includes generating a probabilistic model of the one or more positions of the people based on the head-tracking data, wherein the probabilistic model identifies a probability of a viewer looking in a particular direction as a function of time. The method further includes generating video segments from the three-dimensional video. The method further includes, for each of the video segments: determining a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane, determining a cost function that identifies a region of interest on the plane based on the probabilistic model, and generating optimal segment parameters that minimize a sum-over position for the region of interest.


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