Ray-Space Motion Compensation for Lenslet Plenoptic Video Coding
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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%.
Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 5 of its 89 references that are in the map. First posted on arXiv 1 Jul 2022.
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5 of 89 references.
References · 5
- 2017Light Field Video Capture Using a Learning-Based Hybrid Imaging Systemcited by 10
- 2019A Fourier Disparity Layer representation for Light Fieldscited by 9
- 2016Pseudo Sequence based 2-D hierarchical reference structure for Light-Field Image Compressioncited by 8
- 2020PlenoptiCam v1.0: A light-field imaging frameworkcited by 7
- 2019Differential Scene Flow from Light Field Gradientscited by 3
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