US 2026/0089326 A1 · EFFICIENT VIDEO ENCODING FOR AUTOMOTIVE SYSTEMS AND APPLICATIONS

Abstract

In various examples, visual differences between video data and an encoded version of the video data are used to determine updates to quantization parameters (QPs) used to encode the video data to store or upload video clips that corresponds to notable events associated with a machine. The video data may correspond to images applied to a machine learning model to perform control operations for the machine. A metric may be used to quantify the visual differences. To evaluate the visual differences, samples of the video data and encoded video data may be determined and analyzed, rather than entire images or frames. To selectively enable updates to QPs, the system may detect that a deviation between a bitrate corresponding to the encoded data and a reference bitrate has exceeded a threshold.

Claims20

Dependent claims

An autonomous or semi-autonomous machine comprising:

one or more central processing units (CPUs);
one or more graphics processing units (GPUs);
one or more hardware accelerators;
and
one or more sensors having one or more fields of view or one or more sensory fields external to the autonomous or semi-autonomous machine,
wherein the autonomous or semi-autonomous machine is to:
determine one or more quantization parameters based at least on visual differences between one or more first frames of a video and one or more decoded versions of one or more first encoded frames corresponding to the one or more first frames;
and
encode, using the one or more quantization parameters, one or more second frames of the video to generate one or more second encoded frames.

6 more elements

Dependencies are inferred from the claim text.

Efficient video encoding for automotive systems and applications

Life of this patent

Efficient video encoding for automotive systems and applications

Life of this patent

Abstract

Claims20