论文标题
AIVC：基于人工智能的视频编解码器
AIVC: Artificial Intelligence based Video Codec
论文作者
论文摘要
本文介绍了端到端神经视频编解码器AIVC。它基于两个条件自动编码器MNET和CNET，用于运动补偿和编码。 AIVC通过单一端到端的费率延伸优化学会了使用任何编码配置来压缩视频。此外，它在几个既定的测试条件下与最近的视频编码器HEVC提供了性能竞争。进行了全面的消融研究，以评估组成AIVC的不同模块的好处。该实现可在https://orange-opensource.github.io/aivc/上提供。
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/.
