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:
Feb. 20, 2024

Filed:

Dec. 20, 2019
Applicant:

Vid Scale, Inc., Wilmington, DE (US);

Inventors:

Saurav Bandyopadhyay, San Diego, CA (US);

Xiaoyu Xiu, San Diego, CA (US);

Yuwen He, San Diego, CA (US);

Assignee:

Vid Scale, Inc., Wilmington, DE (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/132 (2014.01); H04N 19/176 (2014.01); H04N 19/186 (2014.01); H04N 19/105 (2014.01);
U.S. Cl.
CPC ...
H04N 19/132 (2014.11); H04N 19/105 (2014.11); H04N 19/176 (2014.11); H04N 19/186 (2014.11);
Abstract

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to improved linear model estimation for template-based video coding are provided. Included therein is a method comprising determining minimum and maximum ('min/max') values of luma and chroma samples neighboring a coding block, wherein the min/max chroma values correspond to the min/max luma values; determining a first linear model parameter of a template-based video coding technique (i) based on a single look-up table and the min/max chroma values and (ii) at a precision no greater than 16 bits; determining a second linear model parameter of the template-based video coding technique (i) based on the first linear model parameter and the minimum chroma and luma values and (ii) at a precision no greater than 16 bits; and predicting chroma samples of the coding block based on reconstructed luma samples of the coding block and the first and second linear model parameters.


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