
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