Multiple view geometry in computer vision
Multiple view geometry in computer vision
Approaches to H.264-Based Stereoscopic Video Coding
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Error concealment of multi-view video sequences using inter-view and intra-view correlations
Journal of Visual Communication and Image Representation
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Video Error Concealment Using Spatio-Temporal Boundary Matching and Partial Differential Equation
IEEE Transactions on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
At low bit-rate video communications, packet loss may easily cause whole-frame loss that, in return, leads to annoying frame drop phenomenon. In this paper, a novel error concealment algorithm is specifically developed for stereoscopic video, called the disparity-based frame difference projection (DFDP), to recover the lost frames at the decoder. The proposed DFDP contains three key components: 1) change detection, 2) disparity estimation, and 3) frame difference projection, which exploits both the intra-view frame difference from one view and interview correlation to estimate the lost frame in another view. The change region computed on the correctly received frame will be used to predict the change region between current missing frame and its previous frame through the estimated disparity, which is the summation of the estimated global disparity and the estimated local disparity. Experimental results have shown that the proposed stereoscopic video error concealment method can effectively restore the lost frames at the decoder and deliver attractive performance, in terms of objective measurement (in peak signal-to-noise ratio) and subjective visual quality.