TY - GEN
T1 - Auto-regressive model based error concealment scheme for stereoscopic video coding
AU - Xiang, Xinguang
AU - Zhao, Debin
AU - Ma, Siwei
AU - Gao, Wen
PY - 2011
Y1 - 2011
N2 - Stereoscopic video is an important manner for 3-D video applications, and robust stereoscopic video transmission has posed a technical challenge for stereoscopic video coding. In this paper, an auto-regressive (AR) model based error concealment scheme is proposed for stereoscopic video coding to address the challenging problem. The proposed error concealment scheme includes a temporal AR model for independent view, and a temporal-interview AR model for inter-view predicted view. First, appropriate motions and disparities for lost blocks are derived. Then, the proposed AR model coefficients are computed according to the spatial neighboring pixels and their temporal-correlated and interview-correlated pixels indicated by the selected prediction directions. Finally, applying the AR model, each pixel of the lost block is interpolated as a weighted summation of pixels in the reference frame along the selected prediction directions. Simulation results show that the performance of the proposed scheme is superior to conventional temporal error concealment methods for stereoscopic video coding.
AB - Stereoscopic video is an important manner for 3-D video applications, and robust stereoscopic video transmission has posed a technical challenge for stereoscopic video coding. In this paper, an auto-regressive (AR) model based error concealment scheme is proposed for stereoscopic video coding to address the challenging problem. The proposed error concealment scheme includes a temporal AR model for independent view, and a temporal-interview AR model for inter-view predicted view. First, appropriate motions and disparities for lost blocks are derived. Then, the proposed AR model coefficients are computed according to the spatial neighboring pixels and their temporal-correlated and interview-correlated pixels indicated by the selected prediction directions. Finally, applying the AR model, each pixel of the lost block is interpolated as a weighted summation of pixels in the reference frame along the selected prediction directions. Simulation results show that the performance of the proposed scheme is superior to conventional temporal error concealment methods for stereoscopic video coding.
KW - Stereoscopic video coding
KW - auto-regressive model
KW - error concealment
KW - temporal
KW - temporal-interview
UR - https://www.scopus.com/pages/publications/80051641798
U2 - 10.1109/ICASSP.2011.5946537
DO - 10.1109/ICASSP.2011.5946537
M3 - 会议稿件
AN - SCOPUS:80051641798
SN - 9781457705397
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 849
EP - 852
BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Y2 - 22 May 2011 through 27 May 2011
ER -