US US20260236692A1
[0000] A system and method for persistent cognitive computation via geometric representation of video content in structured latent manifolds for immersive, multiscale, multiview, and temporal exploration. The system encodes video sequences into Lorentzian latent manifolds with metric tensors preserving temporal causality, compression pressure fields from Ricci curvature, and goal potential fields shaping attention. Video cognition occurs through geodesic traversal of hierarchically nested subspaces comprising macro-level layouts, meso-level textures, and micro-level details, enabling continuous zoom across spatial, temporal, spectral, and semantic dimensions. A cognitive dynamics engine computes optimal trajectory and manages thought bundle operations organizing coherent segments. The system synthesizes multiview representations aligning camera perspectives and enables cross-temporal analysis through trajectory comparison and curvature-based anomaly detection. This architecture enables persistent video memory through geometric encoding where frequently accessed concepts develop high-curvature regions, transforming video processing from frame-based playback to structured navigation through shaped visual memory space.
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