Mikrodosierung für Videokompression mit Niedriger Bitrate

Details

Veröffentlichungs-Nr.

EP4072138

Aktenzeichen

EP22165396

Anmeldetag

30. März 2022

Veröffentlichung

5. März 2025

Erteilung

5. März 2025

Rechtsraum

EP

IPC

H04N19/44G06N3/045G06N3/047G06N3/088

Abstract

A system includes a machine learning (ML) model-based video encoder configured to receive an uncompressed video sequence including multiple video frames, determine, from among the multiple video frames, a first video frame subset and a second video frame subset, encode the first video frame subset to produce a first compressed video frame subset, and identify a first decompression data for the first compressed video frame subset. The ML model-based video encoder is further configured to encode the second video frame subset to produce a second compressed video frame subset, and identify a second decompression data for the second compressed video frame subset. The first decompression data is specific to decoding the first compressed video frame subset but not the second compressed video frame subset, and the second decompression data is specific to decoding the second compressed video frame subset but not the first compressed video frame subset.

Anmelder

Firmen

Disney Enterprises, Inc.
ETH Zürich (Eidgenössische Technische Hochschule Zürich)

Land

🇺🇸 USA

Fachgebiete