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. 22, 2024

Filed:

Mar. 27, 2023
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Abhinav Java, Noida, IN;

Surgan Jandial, Noida, IN;

Shripad Vilasrao Deshmukh, Delhi, IN;

Milan Aggarwal, Pitampura, IN;

Mausoom Sarkar, Noida, IN;

Balaji Krishnamurthy, Noida, IN;

Arneh Jain, Calicut, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/383 (2019.01); G06F 16/332 (2019.01); G06V 30/19 (2022.01); G06V 30/412 (2022.01);
U.S. Cl.
CPC ...
G06F 16/383 (2019.01); G06F 16/332 (2019.01); G06V 30/19147 (2022.01); G06V 30/412 (2022.01);
Abstract

Form structure similarity detection techniques are described. A content processing system, for instance, receives a query snippet that depicts a query form structure. The content processing system generates a query layout string that includes semantic indicators to represent the query form structure and generates candidate layout strings that represent form structures from a target document. The content processing system calculates similarity scores between the query layout string and the candidate layout strings. Based on the similarity scores, the content processing system generates a target snippet for display that depicts a form structure that is structurally similar to the query form structure. The content processing system is further operable to generate a training dataset that includes image pairs of snippets depicting form structures that are structurally similar. The content processing system utilizes the training dataset to train a machine learning model to perform form structure similarity matching.


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