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. 08, 2025

Filed:

Dec. 04, 2023
Applicant:

Gensquare Llc, Seoul, KR;

Inventors:

Soo Mi Oh, Seongnam, KR;

Moonock Yang, Singapore, SG;

Assignee:

GENSQUARE LLC, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/109 (2014.01); H04N 19/105 (2014.01); H04N 19/124 (2014.01); H04N 19/126 (2014.01); H04N 19/129 (2014.01); H04N 19/159 (2014.01); H04N 19/176 (2014.01); H04N 19/46 (2014.01); H04N 19/463 (2014.01); H04N 19/52 (2014.01);
U.S. Cl.
CPC ...
H04N 19/109 (2014.11); H04N 19/105 (2014.11); H04N 19/124 (2014.11); H04N 19/126 (2014.11); H04N 19/129 (2014.11); H04N 19/159 (2014.11); H04N 19/176 (2014.11); H04N 19/46 (2014.11); H04N 19/463 (2014.11); H04N 19/52 (2014.11);
Abstract

A method of decoding an image can include constructing an amvp candidate list using available motion vector candidates of a left, an above and a temporal motion vector candidate, selecting a motion vector predictor among motion vector candidates of the amvp candidates list using the amvp index, and generating a motion vector using the motion vector predictor and a differential motion vector. The method further includes generating a prediction block using the motion vector and a reference picture index, inversely quantizing a quantized block using a quantization parameter to generate a transformed block and inversely transforming the transformed block to generate a residual block, and generating a reconstructed block. Also, the quantization parameter is generated per quantization unit, a minimum size of the quantization unit is adjusted per picture, and the quantization parameter is generated using a differential quantization parameter and a quantization parameter predictor.


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