This invention describes a way to compress video by analyzing a person's behavior, specifically their facial expressions, throughout the video. Instead of storing the full video, the system saves a single picture of the person and a sequence of codes representing their facial expressions over time. When you want to watch the video, a special program uses the picture and the expression codes to recreate the video. The claims focus specifically on detecting and encoding facial expressions.
Why it matters: Filed in 2022, the rapid advancements in generative AI and real-time facial analysis since then could significantly improve the accuracy of behavior recognition and the realism of video synthesis, making the reconstruction more convincing and efficient.
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