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:
Jan. 02, 2024

Filed:

Feb. 16, 2022
Applicant:

Gracenote, Inc., Emeryville, CA (US);

Inventors:

Jose Pio Pereira, Supertino, CA (US);

Kyle Brocklehurst, Mountain View, CA (US);

Sunil Suresh Kulkarni, San Jose, CA (US);

Peter Wendt, San Jose, CA (US);

Assignee:

Gracenote, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/60 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 7/11 (2017.01); G06V 10/46 (2022.01); G06F 18/24 (2023.01); G06T 7/33 (2017.01); G06V 10/50 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06F 18/24 (2023.01); G06T 7/11 (2017.01); G06T 7/337 (2017.01); G06T 7/60 (2013.01); G06V 10/462 (2022.01); G06V 10/764 (2022.01); G06T 2207/20052 (2013.01); G06V 10/50 (2022.01); G06V 2201/09 (2022.01);
Abstract

Accurately detection of logos in media content on media presentation devices is addressed. Logos and products are detected in media content produced in retail deployments using a camera. Logo recognition uses saliency analysis, segmentation techniques, and stroke analysis to segment likely logo regions. Logo recognition may suitably employ feature extraction, signature representation, and logo matching. These three approaches make use of neural network based classification and optical character recognition (OCR). One method for OCR recognizes individual characters then performs string matching. Another OCR method uses segment level character recognition with N-gram matching. Synthetic image generation for training of a neural net classifier and utilizing transfer learning features of neural networks are employed to support fast addition of new logos for recognition.


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