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

Shishun Tian (1, 2) , Lu Zhang (1, 2) , Luce Morin (1, 2) , Olivier Déforges (1, 2)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 INSA Rennes - Institut National des Sciences Appliquées - Rennes

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.

Mots clés: DIBR; distortion; quality assessment; depth coding; free-viewpoint video

Domaines: Traitement du signal et de l'image [eess.SP]

Shishun Tian, Lu Zhang, Luce Morin, Olivier Déforges. Performance comparison of objective metrics on free-viewpoint videos with different depth coding algorithms. SPIE International Symposium on Optics + Photonics, Aug 2018, San diego, United States. ⟨10.1117/12.2321270⟩. ⟨hal-01899633⟩