Revolutionizing Video Compression with AI

Revolutionizing Video Compression with AI

Harnessing Multimodal LLMs for Efficient Video Coding

This research introduces Cross-Modality Video Coding (CMVC), a groundbreaking paradigm that leverages Multimodal Large Language Models to achieve more efficient video compression.

  • Integrates external knowledge priors from MLLMs into traditional video compression pipelines
  • Disentangles video content on the encoder side for compact representation
  • Employs generative models to reconstruct high-quality video on the decoder side
  • Creates a unified framework that transcends traditional redundancy elimination approaches

This engineering innovation could significantly reduce bandwidth requirements for video streaming while maintaining visual quality—critical for evolving multimedia applications in bandwidth-constrained environments.

When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding

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