/Patent Tracker
GoogleGranted patentAI & softwareInterest 6/10

Google patents AI method to grade video quality and fix streaming issues

This patent describes a system that uses a deep neural network to analyze video frames for both visual clarity and semantic content. It combines these factors to calculate an overall quality score, which can then be used to automatically adjust streaming settings like bitrate or resolution.

Why it mattersThis could lead to smoother video streaming by allowing platforms to detect and correct quality drops in real-time based on what is actually being shown.

In the filing’s own words

Techniques for determining perceptual quality indicators of video content items are provided. In some embodiments, a system including one or more processors executes instructions to: receive a video content item comprising a plurality of frames; determine, using a first subnetwork of a deep neural network, a content quality indicator for each frame, wherein the content quality indicator corresponds to one or more semantic content indicators for each frame; determine, using a second subnetwork of the deep neural network, a video distortion indicator for each frame, wherein the video distortion indicator indicates a quality of the frame based on distortions contained within the frame; generate a quality level for each frame based on at least the content quality indicator and the video distortion indicator for the frame; and output an indication of quality for the video content item based on the quality level for each frame.

What exactly they claim (claim 1)

1. A method comprising: receiving, by a computing system, a video content item comprising a plurality of frames; determining, by the computing system and using a first subnetwork of a deep neural network, a content quality indicator for each frame of the plurality of frames of the video content item, wherein the content quality indicator corresponds to one or more semantic content indicators for each frame of the plurality of frames of the video content item; determining, by the computing system and using a second subnetwork of the deep neural network, a video distortion indicator for each frame of the plurality of frames of the video content item, wherein the video distortion indicator indicates a quality of the frame based on distortions contained within the frame; generating, by the computing system, an indication of quality for the video content item based on at least the video distortion indicator for one or more frames of the plurality of frames and the content quality indicator for one or more frames of the plurality of frames; and modifying, by the computing system and based on the indication of quality, the video content item or a transmission strategy associated with the video content item by at least: adjusting a transmission bitrate for the video content item based on the indication of quality; adjusting a transmission resolution for the video content item based on the indication of quality; generating a compressed version of the video content item based on the indication of quality; applying distortion correction to the video content item based on the indication of quality; or transcoding the video content item from a first format to a second format based on the indication of quality.

Facts

Company
Google (Google LLC)
Official title
Methods, systems, and media for determining perceptual quality indicators of video content items
Patent number
US12739450B2
Application number
19009366
Filed
Jan 3, 2025
Granted
Sep 15, 2026
Inventors
8
Claims
20

Classified under

H04N 21/23418 Electricity & electronicsH04N 19/154 Electricity & electronicsH04N 21/4668 Electricity & electronics
Read the full filing (official PDF) ↗ Open in the Patent Tracker

More from Google in AI & software

Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.