MLVC: Multi-platform Learned Video Codec for Real-World Deployment
Neural video codecs have surpassed classical codecs in coding efficiency but remain impractical for deployment due to cross-platform incompatibility and high computational cost. Existing quantization-based solutions fail to produce deterministic results across diverse hardware platforms, leading to catastrophic decoding failures. We introduce MLVC, a hardware-robust neural video codec designed for practical cross-platform inference. The key idea is to explicitly transmit scale parameters through the hyperprior, which guarantees entropy coding consistency across devices without requiring bit-exact arithmetic. While this increases bitrate overhead, we recover most of the coding efficiency t...
| Authors | Tanel Pärnamaa, Martin Lumiste, Ardi Loot et al. |
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| Primary category | eess.IV |
| Published | 26 June 2026 |
| Last updated at source | 29 July 2026 |
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