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Mariee

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repliedto Severian's post about 13 hours ago
I’ve been working on a new mathematical approach to real-time video compositing and background removal, and I wanted to share a live demo. Traditionally, real-time keyers either use 3D color-space bounding boxes (which struggle with semi-transparent hair and motion blur) or heavy Machine Learning models (which require massive GPU compute and often suffer from temporal "jitter" on the edges). I wanted to see if I could solve this using purely deterministic math so it could run client-side in a standard browser. The engine uses a custom mathematical framework I call CMT SRL SEFA. Instead of looking at raw color values or guessing semantics like an AI, it treats the video feed as complex-encoded sequences. It uses harmonic frequencies to map phase geometry and applies a "Stability Cost Function" to find the global minimum stability. In short: it isolates the foreground from the background by measuring signal complexity and structural contradictions. Give it a try using your own messy plates and such. As I am not a VFX artist, I am curious to hear thoughts and what should be improved upon and made better https://severian-cmt-sefa-realtime-vfx-keyer.hf.space/
repliedto Ujjwal-Tyagi's post about 13 hours ago
I am sharing my study material for AI & ML, these books are really a "bible" and gives very strong foundation, I also have given guidance, introduction and my master notes in the dataset repo card! I hope you will find them helpful, if you have any queries, just start a discussion and I am always there to help you out! https://huggingface.co/datasets/Ujjwal-Tyagi/ai-ml-foundations-book-collection
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