AIVC: Artificial Intelligence based Video Codec
Th\'eo Ladune, Pierrick Philippe

TL;DR
AIVC is an end-to-end neural video codec utilizing conditional autoencoders for efficient video compression, achieving competitive performance with HEVC and adaptable to various coding configurations.
Contribution
Introduces a novel neural video codec with autoencoder-based modules, enabling flexible compression and competitive performance with traditional standards.
Findings
Achieves performance comparable to HEVC in test conditions.
Demonstrates effective end-to-end rate-distortion optimization.
Provides comprehensive ablation studies on module contributions.
Abstract
This paper introduces AIVC, an end-to-end neural video codec. It is based on two conditional autoencoders MNet and CNet, for motion compensation and coding. AIVC learns to compress videos using any coding configurations through a single end-to-end rate-distortion optimization. Furthermore, it offers performance competitive with the recent video coder HEVC under several established test conditions. A comprehensive ablation study is performed to evaluate the benefits of the different modules composing AIVC. The implementation is made available at https://orange-opensource.github.io/AIVC/.
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Taxonomy
TopicsAdvanced Vision and Imaging · Advanced Image Processing Techniques · Video Coding and Compression Technologies
