Error Resilient for Multiview Video Transmissions with Gop Analysis

The work in this paper examines the effects of group of pictures on H.264 multiview video coding bitstream over an erroneous network with different error rates. The study considers analyzing the bitrate performance for different GOP and error rates to see the effects on the quality of the reconstructed multiview video. However, by analyzing the multiview video content it is possible to identify an optimum GOP size depending on the type of application used. In a comparison test, the H.264 data partitioning and the multi-layer data partitioning technique with different error rates and GOP are evaluated in terms of quality perception. The results of the simulation confirm that Multi-layer data partitioning technique shows a better performance at higher error rates with different GOP. Further experiments in this work have shown the effects of GOP in terms of visual quality and bitrate for different multiview video sequences.