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:
Feb. 11, 2020

Filed:

Jun. 14, 2017
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Eric Horvitz, Kirkland, WA (US);

Eduardo Cuervo, Bellevue, WA (US);

David Chu, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 13/00 (2018.01); H04N 13/139 (2018.01); H04N 21/2343 (2011.01); H04N 21/24 (2011.01); H04N 21/81 (2011.01); H04N 21/4402 (2011.01); H04N 13/117 (2018.01); H04N 13/161 (2018.01); H04N 13/194 (2018.01); H04N 13/344 (2018.01); H04N 13/383 (2018.01);
U.S. Cl.
CPC ...
H04N 13/139 (2018.05); H04N 13/117 (2018.05); H04N 13/161 (2018.05); H04N 13/194 (2018.05); H04N 13/344 (2018.05); H04N 13/383 (2018.05); H04N 21/234345 (2013.01); H04N 21/234363 (2013.01); H04N 21/2402 (2013.01); H04N 21/440245 (2013.01); H04N 21/816 (2013.01);
Abstract

A server may be configured to receive first pose data from a virtual reality device, generate second pose data, including a pose prediction, based at least on the first pose data, render a map representation based at least on the pose prediction, determine regions of the map representation based on a likelihood of view of each of the regions, perform foveation in each of the regions and generate an encoded frame based on the regions and a network parameter, and send the encoded frame and second pose data to the device. The encoding may associate each of the regions with a quality level and base the foveation on each region's associated quality level. The foveation may use different quantization parameters for each of the regions and/or use rendering foveation for each of regions. Network conditions such as latency, bandwidth, and/or jitter may be considered for bit allocation in the foveation.


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