ADAPTIVE QUANTIZATION FOR VIDEO PIPELINES IN AUTOMOTIVE SYSTEMS AND APPLICATIONS

    公开(公告)号:US20250106399A1

    公开(公告)日:2025-03-27

    申请号:US18472505

    申请日:2023-09-22

    Inventor: Rongrong Zhou

    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.

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