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. 06, 2023

Filed:

Dec. 14, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Tao Wang, Beijing, CN;

Shi Lei Zhang, Beijing, CN;

Lingyun Wang, Beijing, CN;

Qing Wang, Beijing, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 13/117 (2018.01); H04N 13/122 (2018.01); G06N 3/08 (2023.01); H04N 13/139 (2018.01); H04N 13/156 (2018.01); G06T 9/00 (2006.01); H04N 19/59 (2014.01); H04N 19/167 (2014.01); H04N 19/23 (2014.01); H04N 21/218 (2011.01); H04N 21/442 (2011.01); H04N 21/2343 (2011.01); H04N 21/434 (2011.01); H04N 21/4402 (2011.01); H04N 21/81 (2011.01); H04N 21/44 (2011.01); H04N 21/466 (2011.01); H04N 21/4728 (2011.01); H04N 21/432 (2011.01);
U.S. Cl.
CPC ...
H04N 13/117 (2018.05); G06N 3/08 (2013.01); H04N 13/122 (2018.05); H04N 13/139 (2018.05); H04N 13/156 (2018.05); G06T 9/002 (2013.01); H04N 19/167 (2014.11); H04N 19/23 (2014.11); H04N 19/59 (2014.11); H04N 21/21805 (2013.01); H04N 21/23439 (2013.01); H04N 21/4325 (2013.01); H04N 21/4347 (2013.01); H04N 21/44008 (2013.01); H04N 21/44222 (2013.01); H04N 21/440245 (2013.01); H04N 21/4667 (2013.01); H04N 21/4728 (2013.01); H04N 21/816 (2013.01);
Abstract

Embodiments of the invention are directed to a computer-implemented method that includes using a reinforcement learning (RL) system to generate a first set of displayed region candidates based on inputs received from online users while watching video. A recommendation system is used to rank the first set of displayed region candidates based on inputs received from a local user watching video. The recommendation system is further used to select a first highest ranked one of the first set of displayed region candidates. Based on the first highest ranked one of the first set of displayed region candidates, a first section of a first raw video frame is fetched that matches the first highest ranked one of the first set of displayed candidate regions, wherein the first section of the first raw video frame includes a first predicted display region of the video frame.


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