# The evolution of volumetric video: A survey of smart transcoding and compression approaches

arXiv: https://arxiv.org/abs/2411.02095 · HTML: https://mlsanity.com/paper/2411.02095/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 9 references that are in the map.
- First posted on arXiv 4 Nov 2024.

## Builds on (most cited first, 6 of 6)

- [Volumetric video streaming: Current approaches and implementations](https://mlsanity.com/paper/2209.01982/) (2022)
- [From Capture to Display: A Survey on Volumetric Video](https://mlsanity.com/paper/2309.05658/) (2023)
- [OmniSyn: Synthesizing 360 Videos with Wide-baseline Panoramas](https://mlsanity.com/paper/2202.08752/) (2022)
- [Towards Holographic Video Communications: A Promising AI-driven Solution](https://mlsanity.com/paper/2210.06794/) (2022)
- [The Metaverse from a Multimedia Communications Perspective](https://mlsanity.com/paper/2301.07740/) (2023)
- [Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling](https://mlsanity.com/paper/2402.01180/) (2024)

## Abstract (arXiv)

Volumetric video, the capture and display of three-dimensional (3D) imagery, has emerged as a revolutionary technology poised to transform the media landscape, enabling immersive experiences that transcend the limitations of traditional 2D video. One of the key challenges in this domain is the efficient delivery of these high-bandwidth, data-intensive volumetric video streams, which requires innovative transcoding and compression techniques. This research paper explores the state-of-the-art in volumetric video compression and delivery, with a focus on the potential of AI-driven solutions to address the unique challenges posed by this emerging medium.