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:
Aug. 04, 2026

Filed:

May. 15, 2023
Applicant:

Dolby Laboratories Licensing Corporation;

Inventors:

Sri Harsha Musunuri, Santa Clara, CA (US);

Shruthi Suresh Rotti, Mountain House, CA (US);

Anustup Kumar Atanu Choudhury, Campbell, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G11B 27/031 (2006.01); G06V 10/42 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G11B 27/34 (2006.01);
U.S. Cl.
CPC ...
G11B 27/031 (2013.01); G06V 10/42 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G11B 27/34 (2013.01);
Abstract

Methods and systems for generating trim-pass metadata for high dynamic range (HDR) video are described. The trim-pass prediction pipeline includes a feature extraction network followed by a fully connected network which maps extracted features to trim-pass values. In a first architecture, the feature extraction network is based on four cascaded convolutional networks. In a second architecture, the feature extraction network is based on a modified MobileNetV3 neural network. In both architectures, the fully connected network is formed by a set of three linear networks, each set customized to best match its corresponding feature extraction network.


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