# Ray-Space Motion Compensation for Lenslet Plenoptic Video Coding

arXiv: https://arxiv.org/abs/2207.00522 · HTML: https://mlsanity.com/paper/2207.00522/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 89 references that are in the map.
- First posted on arXiv 1 Jul 2022.

## Builds on (most cited first, 5 of 5)

- [Light Field Video Capture Using a Learning-Based Hybrid Imaging System](https://mlsanity.com/paper/1705.02997/) (2017)
- [A Fourier Disparity Layer representation for Light Fields](https://mlsanity.com/paper/1901.06919/) (2019)
- [Pseudo Sequence based 2-D hierarchical reference structure for Light-Field Image Compression](https://mlsanity.com/paper/1612.07309/) (2016)
- [PlenoptiCam v1.0: A light-field imaging framework](https://mlsanity.com/paper/2010.11687/) (2020)
- [Differential Scene Flow from Light Field Gradients](https://mlsanity.com/paper/1907.11637/) (2019)

## Abstract (arXiv)

Plenoptic images and videos bearing rich information demand a tremendous amount of data storage and high transmission cost. While there has been much study on plenoptic image coding, investigations into plenoptic video coding have been very limited. We investigate the motion compensation for plenoptic video coding from a slightly different perspective by looking at the problem in the ray-space domain instead of in the conventional pixel domain. Here, we develop a novel motion compensation scheme for lenslet video under two sub-cases of ray-space motion, that is, integer ray-space motion and fractional ray-space motion. The proposed new scheme of light field motion-compensated prediction is designed such that it can be easily integrated into well-known video coding techniques such as HEVC. Experimental results compared to relevant existing methods have shown remarkable compression efficiency with an average gain of 19.63% and a peak gain of 29.1%.