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. 27, 2026

Filed:

Jul. 26, 2024
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Lester Lu, Los Angeles, CA (US);

Xiang Li, Saratoga, CA (US);

Debargha Mukherjee, Cupertino, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/513 (2014.01); H04N 19/139 (2014.01); H04N 19/176 (2014.01); H04N 19/196 (2014.01);
U.S. Cl.
CPC ...
H04N 19/521 (2014.11); H04N 19/139 (2014.11); H04N 19/176 (2014.11); H04N 19/196 (2014.11);
Abstract

Coding including dynamic range handling of high dimensional inverse autocorrelation in optical flow refinement includes obtaining a refinement model from available warped refinement models, wherein the available warped refinement models include a four-parameter scaling refinement model, a three-parameter scaling refinement model, and a four-parameter rotational refinement model, obtaining refined motion vectors using the warped refinement model and previously obtained reference frame data in the absence of data expressly indicating the refined motion vectors in the encoded bitstream, wherein obtaining the refined motion vectors includes using a dynamic range adjusted autocorrelation matrix, generating refined prediction block data using the refined motion vectors, generating reconstructed block data using the refined prediction block data, including the reconstructed block data in reconstructed frame data for the current frame, and outputting the reconstructed frame data.


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Lu, Lester. (2026). Dynamic range handling of high dimensional inverse autocorrelation in optical flow refinement (U.S. Patent No. 12777182). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12777182

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