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:
Oct. 01, 2019

Filed:

Jan. 02, 2019
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

Amy R. Reibman, Chatham, NJ (US);

Kenneth Shirley, South Orange, NJ (US);

Chao Tian, Knoxville, TN (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/23 (2011.01); H04N 21/234 (2011.01); H04N 21/2343 (2011.01); H04N 21/643 (2011.01); H04N 21/266 (2011.01); H04N 21/258 (2011.01); H04N 21/25 (2011.01); G06T 7/00 (2017.01); G06K 9/62 (2006.01); G06K 9/40 (2006.01); G06K 9/03 (2006.01);
U.S. Cl.
CPC ...
H04N 21/23418 (2013.01); G06K 9/036 (2013.01); G06K 9/40 (2013.01); G06K 9/6201 (2013.01); G06T 7/0002 (2013.01); H04N 21/23439 (2013.01); H04N 21/252 (2013.01); H04N 21/25891 (2013.01); H04N 21/266 (2013.01); H04N 21/64322 (2013.01); G06T 2207/30168 (2013.01);
Abstract

A system that incorporates teachings of the present disclosure may include, for example, sampling a variable effect distribution of viewing preference data to determine a first set of effects comprising a plurality of first distortion type effects associated with a first distortion type of a first image and to determine a second set of effects comprising a plurality of second distortion type effects associated with the second distortion type of a second image, calculating a preference estimate from a logistic regression model of the viewing preference data according to the first set of effects and the second set of effects, wherein the preference estimate comprises a probability that the first image is preferred over the second image, and selecting one of the first distortion type or the second distortion type according to the preference estimate. Other embodiments are disclosed.


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