The 3D panoramic video provides an immersive stereo visual experience by presenting 3D omnidirectional videos of real-world scenes. The key challenge is to develop an efficient representation of 3D panoramic video in order to maximize coding efficiency. In this paper, we propose an asymmetric representation based on the binocular suppression theory that in a stereo sequence, where the sharpness of left-eye and right-eye view differ, the perceived binocular quality of a stereoscopic sequence is rated close to the sharper view. According to the theory, in our method, one view is down-sampled to half size of original sequence in horizontal and vertical direction, and the other keeps the original resolution. To improve the quality of the reconstructed 3D panoramic video, we propose an anti-aliasing method based on detail blurring. Experimental results show that our representation can get significant coding gains (26.13%) over side-by-side and top-and-bottom method with full resolution.
[1]
Michael G. Perkins,et al.
Data compression of stereopairs
,
1992,
IEEE Trans. Commun..
[2]
Barry G. Haskell,et al.
Basics of stereoscopic video, new compression results with MPEG-2 and a proposal for MPEG-4
,
1997,
Signal Process. Image Commun..
[3]
Christoph Fehn,et al.
Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV
,
2004,
IS&T/SPIE Electronic Imaging.
[4]
André Vincent,et al.
Stereo image quality: effects of mixed spatio-temporal resolution
,
2000,
IEEE Trans. Circuits Syst. Video Technol..
[5]
Li Xu,et al.
Structure extraction from texture via relative total variation
,
2012,
ACM Trans. Graph..