Abstract
Abstract This paper proposes an error concealment algorithm for whole frame loss for multi-view video decoding. In our proposal, the relationship between motion vectors and disparity vectors is exploited first. Based on the parallelogram-like motion relationship, the motion vectors of error frames can be indirectly derived by projecting the disparity vectors from the counterpart view. In addition, to further improve the concealing results, a joint sum of the absolute difference (SAD) minimization approach is also proposed to find the block for the purpose of concealing the current error block by jointly considering motion vectors and disparity vectors. Experimental results show that our proposed algorithm provides better video quality than previous work and reduces error propagation.
Highlights
As multimedia technology has advanced in recent years, the applications of three-dimensional (3D) television and free viewpoint video (FVV) have become more attractive
To support multi-view video coding, the multiview video coding standard has been proposed [1,2] based on the motion-compensated prediction (MCP) technology adopted in H.264/AVC [3,4] by incorporating the disparity-compensated prediction (DCP) technology as shown in Figure 1, to eliminate inter-view redundancy
2.2 Proposed error concealment algorithm From the above sub-section, we observe that the motion vectors between views and disparity vectors between frames have a high degree of similarity and a close relationship
Summary
As multimedia technology has advanced in recent years, the applications of three-dimensional (3D) television and free viewpoint video (FVV) have become more attractive. 2.2 Proposed error concealment algorithm From the above sub-section, we observe that the motion vectors between views and disparity vectors between frames have a high degree of similarity and a close relationship. (c) SAD calculation according to selected MV Based on the parallelogram-like motion relationship between inter-frame and inter-view correlation as shown, we can observe that the DVnR;f‐1 will be very similar to the DVnR;f and the MVnL;f will be very similar to the MVnR;f . The situation might be faced when the block has been shifted from the wrong DV and the luminance component difference between blocks pointed to by the wrong MVs is unnoticeable To solve this problem, we further consider SADs between the left and right views in the previous frame (FL,f-1). The notations of Equation 4 are listed as follows: i and j, the horizontal and vertical indexes of the B × B block in a frame a and b, the horizontal and vertical indexes of the pixel inside the block FR,f, the lost frame of the right view FR,f-1, the previous frame of the lost frame in the right view FL,f, the current frame of the left view
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