A System-Level AI Hypervisor for Multi-Engine Video Encoding

Read full text
Authors: chatGPT no one wants the idea
Cited by: 0

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