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:
Jul. 20, 2021

Filed:

Mar. 09, 2020
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Robin Tommy, Thiruvananthapuram, IN;

Anita Pramod Nanadikar, Thiruvananthapuram, IN;

Anil Kumar Sharma, Thiruvananthapuram, IN;

Aswathy Sreelekha Krishna, Thiruvananthapuram, IN;

Rinu Michael, Thiruvananthapuram, IN;

Mridul Sharma, Thiruvananthapuram, IN;

Akhil Guthula, Thiruvananthapuram, IN;

Gireesh Venkataraghavendra Bandlamudi, Thiruvananthapuram, IN;

Sayan Das, Thiruvananthapuram, IN;

Navin Infant Raj, Thiruvananthapuram, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/60 (2006.01); G06K 9/00 (2006.01); G10L 15/06 (2013.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 25/63 (2013.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06K 9/00711 (2013.01); G10L 15/063 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 25/63 (2013.01);
Abstract

A system and method to create an intelligent cartoon comic strip based on the dynamic content. Herein, the input is conversation-based text or speech files. The system identifies scenes, objects, sequence and flow for generating the comic strip along with gender of characters appearing in the entire conversation. Text is analyzed to create the situational based background image for the scenes that needs to be rendered. Emotion and placement of characters in the scene is decided by the NLP algorithms along with voice emotional and sentimental analysis. Characters are placed in plain canvas and then text dialog is embedded into corresponding text bubbles. Once this image is obtained, it is overlaid on top of the background based on the context. Further, the scenes are joined into a strip of images in a pattern, which depends on the number, and order of scenes, which is decided, based on the input.


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