MLVC: Multi-platform Learned Video Codec for Real-World Deployment [P]

Short summary

MLVC is a learned video codec that solves the cross-platform NPU compatibility problem by transmitting entropy-model scale parameters through the hyperprior, avoiding the need for bit-exact neural network execution across different hardware. It achieves ~100 FPS for 360p/540p video on consumer NPUs, bringing neural codecs closer to real-world deployment. The author identifies why traditional codecs (h.264, h.265, av1) still dominate: hardware acceleration ubiquity and the lack of standardized integer math across NPUs.

• •MLVC transmits entropy-model scale parameters via hyperprior to bypass cross-NPU numerical mismatch
• •Runs at ~100 FPS for 360p/540p on consumer NPUs, approaching deployable performance
• •Addresses why neural codecs haven't replaced traditional codecs: compute cost and cross-platform incompatibility

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