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. 03, 2026

Filed:

Jun. 23, 2022
Applicants:

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

The Regents of the University of California, Oakland, CA (US);

Massachusetts Institute of Technology, Cambridge, MA (US);

Inventors:

Pulkit Tandon, Sunnyvale, CA (US);

Shubham Chandak, Stanford, CA (US);

Pat Pataranutaporn, Stanford, CA (US);

Yimeng Liu, Stanford, CA (US);

Anesu M. Mapuranga, Stanford, CA (US);

Patricia Emilia Maes, Stanford, CA (US);

Tsachy Weissman, Stanford, CA (US);

Misha Sra, Stanford, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 13/02 (2013.01); G06T 13/40 (2011.01); G10L 15/26 (2006.01); H04L 65/403 (2022.01);
U.S. Cl.
CPC ...
G10L 13/02 (2013.01); G06T 13/40 (2013.01); G10L 15/26 (2013.01); H04L 65/403 (2013.01);
Abstract

Systems and method for video communication using text-based compression in accordance with embodiments of the invention are illustrated. One embodiment includes a method for video communication using text-based compression, where the method includes receiving a file comprising captured audio-video content, encoding captured audio-video content to a text transcript using an encoder, transmitting initialization data, and the text transcript to a decoder, initializing a facial animation model and a text-to-speech (TTS) system using the initialization data, and reconstructing an animated version of the captured audio-video content using the text transcript, the facial animation model and the TTS system at the decoder.


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