1. DIBR-synthesised video quality assessment by measuring geometric distortion and spatiotemporal inconsistency.
- Author
-
Huang, Yipo, Zhou, Yu, Hu, Bo, Tian, Shishun, and Yan, Jiebin
- Subjects
- *
VIDEO processing , *VIDEOS , *MOTIVATION (Psychology) , *STREAMING video & television - Abstract
Depth-image-based rendering (DIBR), as the most popular view synthesis method, is commonly used in the application of multi-view and free-viewpoint videos. However, the quality evaluation of DIBR-synthesised videos remains largely unexplored, which may hinder the development of more advanced view synthesis technology. With this motivation, this Letter presents a new quality metric for DIBR-synthesised videos. Specifically, the disoccluded regions are first detected based on an adaptive threshold to quantify geometric distortions. An energy-based sequence mapping strategy is proposed to portray spatiotemporal inconsistency by calculating first-order and second-order similarities in the gradient magnitude domain and the Laplace-of-Gaussian domain, respectively. Finally, the overall quality score is generated by pooling the scores of geometric distortion and spatiotemporal inconsistency. Experimental results demonstrate that the proposed metric outperforms the state-of-the-art metrics dedicated to DIBR-synthesised images and videos. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF