# A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space

arXiv: https://arxiv.org/abs/2104.00807 · HTML: https://mlsanity.com/paper/2104.00807/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 20 references that are in the map.
- First posted on arXiv 1 Apr 2021.

## Builds on (most cited first, 9 of 9)

- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [Joint Autoregressive and Hierarchical Priors for Learned Image Compression](https://mlsanity.com/paper/1809.02736/) (2018)
- [DVC: An End-to-end Deep Video Compression Framework](https://mlsanity.com/paper/1812.00101/) (2018)
- [CompressAI: a PyTorch library and evaluation platform for end-to-end compression research](https://mlsanity.com/paper/2011.03029/) (2020)
- [Video Compression through Image Interpolation](https://mlsanity.com/paper/1804.06919/) (2018)
- [Efficient Nonlinear Transforms for Lossy Image Compression](https://mlsanity.com/paper/1802.00847/) (2018)
- [End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression](https://mlsanity.com/paper/2008.05028/) (2020)
- [Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces](https://mlsanity.com/paper/2103.01760/) (2021)
- [Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?](https://mlsanity.com/paper/2007.08922/) (2020)

## Built on by (most cited first, 1 of 1)

- [Boosting neural video codecs by exploiting hierarchical redundancy](https://mlsanity.com/paper/2208.04303/) (2022)

## Abstract (arXiv)

Most of the existing deep learning based end-to-end video coding (DLEC) architectures are designed specifically for RGB color format, yet the video coding standards, including H.264/AVC, H.265/HEVC and H.266/VVC developed over past few decades, have been designed primarily for YUV 4:2:0 format, where the chrominance (U and V) components are subsampled to achieve superior compression performances considering the human visual system. While a broad number of papers on DLEC compare these two distinct coding schemes in RGB domain, it is ideal to have a common evaluation framework in YUV 4:2:0 domain for a more fair comparison. This paper introduces a new DLEC architecture for video coding to effectively support YUV 4:2:0 and compares its performance against the HEVC standard under a common evaluation framework. The experimental results on YUV 4:2:0 video sequences show that the proposed architecture can outperform HEVC in intra-frame coding, however inter-frame coding is not as efficient on contrary to the RGB coding results reported in recent papers.