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:
Mar. 31, 2020

Filed:

Oct. 05, 2017
Applicant:

Uurmi Systems Pvt. Ltd., Hyderabad, IN;

Inventors:

Shanti Swarup Medasani, Hyderabad, IN;

Sumohana S Channappayya, Hyderabad, IN;

Venkatanath Neeluri, Hyderabad, IN;

Maruthi Chandrasekhar Bhatlapenumarti, Hyderabad, IN;

Assignee:

Uurmi Systems PVT LTD, Hyderabad, IN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 5/50 (2006.01); G06F 17/10 (2006.01); G06K 9/62 (2006.01); G06F 3/0484 (2013.01); G06F 16/583 (2019.01); G06T 7/41 (2017.01); G06T 7/00 (2017.01); G06F 16/58 (2019.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G06F 3/0484 (2013.01); G06F 16/58 (2019.01); G06F 16/583 (2019.01); G06F 17/10 (2013.01); G06K 9/6228 (2013.01); G06K 9/6263 (2013.01); G06T 7/0002 (2013.01); G06T 7/41 (2017.01); G06T 2207/10004 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30168 (2013.01);
Abstract

An automated system and method for retaining images in a smart phone are disclosed. The system may then determine a no-reference quality score of the image using a PIQUE module. The PIQUE module utilizes block level features of the image to determine the no-reference quality score. The system may present the image and the no-reference quality score to the user and accept a feedback towards quality of the image. The system may utilize a supervised learning model for continually learning a user's perception of quality of the image, the no-reference quality score determined by the PIQUE module, and the user feedback. Based on the learning, the supervised learning model may adapt the no-reference quality score and successively the image may either be retained or isolated for deletion, based on the adapted quality score and a predefined threshold range.


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