Overview of MV-HEVC prediction structures for light field video

Vasileios Avramelos; Glenn Van Wallendael; Peter Lambert

doi:10.1117/12.2529137

6 September 2019 Overview of MV-HEVC prediction structures for light field video

Vasileios Avramelos, Glenn Van Wallendael, Peter Lambert

Proceedings Volume 11137, Applications of Digital Image Processing XLII; 111371F (2019) https://doi.org/10.1117/12.2529137
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

Light field video is a promising technology for delivering the required six-degrees-of-freedom for natural content in virtual reality. Already existing multi-view coding (MVC) and multi-view plus depth (MVD) formats, such as MV-HEVC and 3D-HEVC, are the most conventional light field video coding solutions since they can compress video sequences captured simultaneously from multiple camera angles. 3D-HEVC treats a single view as a video sequence and the other sub-aperture views as gray-scale disparity (depth) maps. On the other hand, MV-HEVC treats each view as a separate video sequence, which allows the use of motion compensated algorithms similar to HEVC. While MV-HEVC and 3D-HEVC provide similar results, MV-HEVC does not require any disparity maps to be readily available, and it has a more straightforward implementation since it only uses syntax elements rather than additional prediction tools for inter-view prediction. However, there are many degrees of freedom in choosing an appropriate structure and it is currently still unknown which one is optimal for a given set of application requirements. In this work, various prediction structures for MV-HEVC are implemented and tested. The findings reveal the trade-off between compression gains, distortion and random access capabilities in MVHEVC light field video coding. The results give an overview of the most optimal solutions developed in the context of this work, and prediction structure algorithms proposed in state-of-the-art literature. This overview provides a useful benchmark for future development of light field video coding solutions.

Conference Presentation

Citation Download Citation

Vasileios Avramelos, Glenn Van Wallendael, and Peter Lambert "Overview of MV-HEVC prediction structures for light field video", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111371F (6 September 2019); https://doi.org/10.1117/12.2529137

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available