Share Email Print
cover

Proceedings Paper

Performance comparison of objective metrics on free-viewpoint videos with different depth coding algorithms
Author(s): Shishun Tian; Lu Zhang; Luce Morin; Olivier Déforges
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The popularity of 3D applications has brought out new challenges in the creation, compression and transmission of 3D content due to the large size of 3D data and the limitation of transmission. Several compression standards, such as, Multiview-HEVC and 3D-HEVC have been proposed to compress the 3D content aiding by view synthesis technologies, among which the most commonly used algorithm is Depth-Image-Based-Rendering (DIBR), but the quality assessment of DIBR-synthesized view is very challenging owing to its new types of distortions induced by inaccurate depth map which the conventional 2D quality metrics may fail to assess. In this paper, we test the performance of existing objective metrics on free-viewpoint video with different depth coding algorithms. Results show that all the existing objective metrics perform not well on this database including the full-reference and the no-reference. There is certainly room for further improvement for the algorithms.

Paper Details

Date Published: 17 September 2018
PDF: 7 pages
Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107520O (17 September 2018); doi: 10.1117/12.2321270
Show Author Affiliations
Shishun Tian, IETR, National Institute of Applied Sciences, CNRS (France)
Lu Zhang, IETR, National Institute of Applied Sciences, CNRS (France)
Luce Morin, IETR, National Institute of Applied Sciences, CNRS (France)
Olivier Déforges, IETR, National Institute of Applied Sciences, CNRS (France)


Published in SPIE Proceedings Vol. 10752:
Applications of Digital Image Processing XLI
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top