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:
Dec. 03, 2019

Filed:

Apr. 14, 2017
Applicant:

Nokia Technologies Oy, Espoo, FI;

Inventors:

Devon Copley, San Francisco, CA (US);

Daniel Andre Vaquero, Sunnyvale, CA (US);

Esin Guldogan, Tampere, FI;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 1/20 (2006.01); H04N 19/172 (2014.01); G06F 3/01 (2006.01); H04L 29/08 (2006.01); H04N 19/115 (2014.01); H04N 19/162 (2014.01); H04N 19/174 (2014.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
H04N 19/172 (2014.11); G06F 3/013 (2013.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06T 1/20 (2013.01); H04L 67/12 (2013.01); H04L 67/22 (2013.01); H04L 67/2847 (2013.01); H04L 67/2852 (2013.01); H04L 67/322 (2013.01); H04N 19/115 (2014.11); H04N 19/162 (2014.11); H04N 19/174 (2014.11); G06N 20/00 (2019.01); G06T 2200/16 (2013.01);
Abstract

A method, apparatus and computer program product are provided for improving the efficiency of content delivery based on consumption data. Consumption data may be collected from various users and/or devices describing frequently viewed areas in the content. The consumption data may be represented as a heat map. Variable encoding properties, caching priorities, and/or rendering priorities may be determined based on the consumption data. Content encoding and delivery may therefore be optimized accordingly. Machine learning may be applied to create predicted consumption data for content which lacks actual consumption data, allowing optimizations to be applied in advance of any actual consumption. Some concepts may be applied to unviewed video to optimize live streaming or the like.


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