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.

Patent No.:

US 8824783 B1

PDF
Full Text
Expired
Date of Patent:
Sep. 02, 2014

Filed:

Apr. 30, 2010
Applicants:

Feng Xu, Beijing, CN;

Zhibo Chen, Beijing, CN;

Debing Liu, Beijing, CN;

Xiaodong Gu, Beijing, CN;

Inventors:

Feng Xu, Beijing, CN;

Zhibo Chen, Beijing, CN;

Debing Liu, Beijing, CN;

Xiaodong Gu, Beijing, CN;

Assignee:

Thomson Licensing, Issy Les Moulineaux, FR;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/46 (2006.01); H04N 17/00 (2006.01); G06T 7/00 (2006.01);
U.S. Cl.
CPC ...
H04N 17/004 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 7/0002 (2013.01); G06T 2207/30168 (2013.01);
Abstract

The invention is made in the technical field of video quality measurement. More precisely, the invention is related to mean observer score prediction using a trained semi-supervised learning regressor. That is, a method and apparatus for measuring video quality using a semi-supervised learning system for mean observer score prediction is proposed. Said semi-supervised learning system comprises at least one semi-supervised learning regressor and said method comprises training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting, in the user interface, said at least one mean observer score prediction. Doing so, prediction quality can be improved after re-training at least for the selection.


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