ROI – Region of Interest

    1. Application Areas：
      ROI is a technical term in image processing and surveillance, primarily used to select key areas of an image for focused processing. For example：

      • In surveillance cameras, ROI is used to specify critical areas in the frame (such as doorways or faces). These areas receive higher resolution or faster processing, while other areas may be blurred or downscaled to save bandwidth and storage.
      • In machine vision, ROI helps focus on inspection areas while ignoring background interference.
    1. Technical Principle：
      • ROI is defined manually or through algorithms to allocate image processing resources efficiently. The area of interest is typically marked using rectangles, circles, or other shapes.

              Key Features：

    • Efficient resource allocation (improves encoding efficiency).
    • Focus on specific scenes or targets, enhancing recognition and processing accuracy.

  1. Feature ROI – Region of Interest
    Main Objective Focused processing or optimization of surveillance resources
    Operation Method Manually defined or algorithm-selected fixed area
    Application Scenarios Security surveillance, medical imaging, machine vision
    Background Processing Background may be downscaled to a lower resolution


    Conclusion:
    ROI is a crucial technique in surveillance and professional image processing, enhancing efficiency by focusing on key areas.

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