3VQM: A vision-based quality measure for DIBR-based 3D videos
In this paper, we present a new method for objectively evaluating the quality of stereoscopic 3D videos generated by depth-image-based rendering (DIBR). First we show how to derive an ideal depth estimate at each pixel value that would constitute a distortion-free rendered video. The ideal depth estimate will then be used to derive three distortion measures to objectify the visual discomfort in the stereoscopic videos. The three measures are temporal outliers (TO), temporal inconsistencies (TI), and spatial outliers (SO). The combination of the three measures will constitute a vision-based quality measure for 3D DIBR-based videos, 3VQM. Finally, 3VQM will be presented and verified against a fully conducted subjective evaluation. The results show that our proposed measure is significantly accurate, coherent and consistent with the subjective scores.