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:
Dec. 12, 2023

Filed:

Jul. 01, 2021
Applicant:

Alphonso Inc., Mountain View, CA (US);

Inventors:

Susmita Ghose, Mountain View, CA (US);

Aayush Agrawal, Jabalpur, IN;

Assignee:

ALPHONSO INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0242 (2023.01); G06F 16/438 (2019.01); G06F 16/432 (2019.01); G06F 16/435 (2019.01); G06V 30/224 (2022.01);
U.S. Cl.
CPC ...
G06Q 30/0243 (2013.01); G06F 16/434 (2019.01); G06F 16/435 (2019.01); G06F 16/438 (2019.01); G06Q 30/0244 (2013.01); G06V 30/224 (2022.01);
Abstract

Candidate brands are identified for an ad clip of a query video advertisement using two different techniques. Optical character recognition (OCR) is performed on a thumbnail of a plurality of different video ads in a curated database that includes brand-identifying metadata. In one technique, text vectorization is performed for each brand using all of the text that is extracted from each of the thumbnails for each brand, thereby providing a numerical brand embedding for each brand, a similar text vectorization is performed on the query video ad, and then a comparison is made between the embeddings to identify highest-ranking candidate brands based on brand-level identification. In another technique, a transformer-based model generates numerical embeddings for each ad clip in the curated database, and a comparison is made to these clip-based numerical embeddings to identify highest-ranking candidate brands based on clip-level identification. The results of the two techniques are combined together to provide one or more overall highest-ranking candidate brands.


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