Performance comparison of objective metrics on free-viewpoint videos with different depth coding algorithms

Shishun Tian; Lu Zhang; Luce Morin; Olivier Déforges

doi:10.1117/12.2321270

17 September 2018 Performance comparison of objective metrics on free-viewpoint videos with different depth coding algorithms

Shishun Tian, Lu Zhang, Luce Morin, Olivier Déforges

Author Affiliations +

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 107520O (2018) https://doi.org/10.1117/12.2321270
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

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.

Conference Presentation

Citation Download Citation

Shishun Tian, Lu Zhang, Luce Morin, and Olivier Déforges "Performance comparison of objective metrics on free-viewpoint videos with different depth coding algorithms", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107520O (17 September 2018); https://doi.org/10.1117/12.2321270

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