Example Concept: AI-driven visual continuity involves using algorithms to analyze and adjust the visual elements of video scenes. This includes matching color palettes, lighting conditions, and stylistic features across scenes to create a seamless viewing experience. By leveraging machine learning models, AI can automatically detect discrepancies and apply corrections, ensuring that each scene transitions smoothly into the next without jarring visual differences.