Frame loss concealment for stereoscopic video based on inter-view similarity of motion and intensity difference
An efficient frame loss concealment algorithm for stereoscopic video based on the inter-view similarity of motion vectors and intensity differences is proposed in this work. Suppose that a frame at time t in the right view is lost during the transmission. To conceal its loss, we use the information in the previous frame at time t − 1 in the right view and the frames at t − 1 and t in the left view. More specifically, we first estimate the disparity vector field of the previous frame to find the matching pixels in the left view, and determine the motion vectors and the intensity differences of those matching pixels. By projecting those motion vectors and intensity differences onto the right view, we recover the lost frame. Simulation results demonstrate that the proposed algorithm provides significantly better performance than conventional algorithms.