Video Selective Steganography Protection Scheme Based on Object Detection and Background Inpainting: A Novel Paradigm

This research proposes a method to protect privacy in videos by selectively encrypting only the important parts (like detected people) rather than the entire frame, which saves computational resources. The approach uses object detection (YOLOv8, a tool for identifying people in images), encryption algorithms (mathematical methods to scramble data), and steganography (hiding encrypted information inside other data) to protect sensitive video regions while maintaining visual quality.