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Effects of Video Encoding on Camera-Based Heart Rate Estimation.

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    Video compression can impact camera-based heart rate estimation. This study found that reducing video resolution and using color subsampling can decrease file size without significantly affecting heart rate accuracy.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing

    Background:

    • Public databases are crucial for validating camera-based heart rate estimation methods.
    • Video compression is necessary for managing large file sizes but can degrade photoplethysmography (PPG) signals.
    • Modern video codecs optimized for human perception may inadvertently remove subtle skin color changes vital for heart rate estimation.

    Purpose of the Study:

    • To investigate the impact of video compression on camera-based heart rate estimation.
    • To determine optimal video compression strategies that preserve PPG information.
    • To provide guidelines for recording and encoding video for accurate heart rate monitoring.

    Main Methods:

    • Compared H.264 and H.265 encoders on two public datasets.
    • Analyzed effects of compression rate, resolution scaling, and color subsampling.
    • Evaluated impact on heart rate estimation accuracy and file size.

    Main Results:

    • Higher compression rates reduce heart rate estimation accuracy.
    • Resolution can be reduced to a certain point without significant accuracy loss.
    • Color subsampling is a viable method for file size reduction with minimal impact on accuracy.

    Conclusions:

    • Proposed guidelines for video recording and encoding to maintain PPG signal integrity.
    • Highlighted the need for awareness within the research community regarding video compression's effects.
    • Emphasized the potential for creating shareable, reproducible datasets to advance the field.