Overview of the Multiview and 3D Extensions of High Efficiency Video Coding

By Gerhard Tech, Ying Chen, K. Müller, Jens-Rainer Ohm, Anthony Vetro, Ye-Kui Wang. IEEE transactions on circuits and systems for video technology (Print), 2016

438 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e02daf22838f4adcb06b15f819729f266e50fca2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. O. Nakagami
2. Pablo César
3. P. Chou
4. Ali J. Tabatabai
5. Rufael Mekuria

In Signal Processing

1. O. Nakagami
2. Pablo César
3. P. Chou
4. Ali J. Tabatabai
5. Rufael Mekuria

Citations in the corpus

• Emerging MPEG Standards for Point Cloud Compression (2019, methodology): “Somewhat related, multiview video plus depth (MVD) representation was considered for storing video and depth maps from multiple cameras in extensions of the international HEVC standard [36].”
• Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC) (2021, neutral): “D multiview video coding [28].”