ADAPTIVE QUANTIZATION FOR VIDEO PIPELINES IN AUTOMOTIVE SYSTEMS AND APPLICATIONS

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20250106399A1
SERIAL NO

18472505

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

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.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
NVIDIA CORPORATION2788 SAN TOMAS EXPRESSWAY SANTA CLARA CA 95051

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Zhou, Rongrong Shenzhen, CN 20 23

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation