View synthesis based on temporal prediction via warped motion vector fields
Andrei I. Purica, Marco Cagnazzo, Béatrice Pesquet-Popescu, Frédéric Dufaux, Bogdan Ionescu
Abstract
The demand for 3D content has increased over the last years as 3D displays are now widespread. View synthesis methods, such as depth-image-based-rendering, provide an efficient tool in 3D content creation or transmission, and are integrated in coding solutions for multiview video content such as 3D-HEVC. In this paper, we propose a view synthesis method that takes advantage of temporal and inter-view correlations in multiview video sequences. We use warped motion vector fields computed in reference views to obtain temporal predictions of a frame in a synthesized view and blend them with depth-image-based-rendering synthesis. Our method is shown to bring gains of 0.42dB in average when tested on several multiview sequences.
BibTeX
@inproceedings{icassp2016_viewsynthesisbas,
title = {View synthesis based on temporal prediction via warped motion vector fields},
author = {Andrei I. Purica and Marco Cagnazzo and Béatrice Pesquet-Popescu and Frédéric Dufaux and Bogdan Ionescu},
booktitle = {ICASSP 2016},
year = {2016}
}