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This talk presents a data-driven approach that integrates aperture and pixel-wise exposure coding with Dynamic Mode Decomposition (DMD) to achieve compact representation of dynamic light fields. By modeling them as mathematical dynamical systems, the framework captures coherent structures across all dimensions and achieves scalable compression, bitrate savings, and high-quality reconstructions.