A System-Level AI Hypervisor for Multi-Engine Video Encoding
Abstract
This white paper proposes a system-level transformation of video encodingarchitecture.Instead of enhancing individual codec tools (e.g., HEVC, AV1, VVC), we introducean AI-orchestrated multi-engine control fabric capable of segment-levelencoding strategy switching.The proposed architecture introduces:A hardware multi-codec engine poolAn AI decision hypervisorA KVM-style encoding strategy switching layerPredictive behavior-driven pre-encodingThis shifts video encoding from a fixed pipeline to a dynamically orchestratedcomputational system.
Fields of Study & Subjects
Video Coding and Compression Technologies
Embedded Systems Design Techniques
Parallel Computing and Optimization Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 23 February 2026
- Language
- EN