Proposed optimized hybrid error recovery techniques for performance improvement of wireless 3D-MVC communication

Abstract

The transmission of 3D Video (3DV) over wireless channels has become a hot issue because of the limited resources and the existence of severe channel errors. In the 3DV system, the compressed bit streams may be dropped down due to the propagation of transmission errors in the time, space, and view scopes. So, it is important to recover the Disparity Vectors (DVs) and Motion Vectors (MVs) of the corrupted Macro-Blocks (MBs) at the decoder utilizing efficient Error Concealment (EC) post-processing techniques. To enhance the received 3DV quality, we suggest optimized hybrid techniques to reconstruct the erroneous MBs of color-plus-depth inter-encoded and intra-encoded frames. A hybrid approach of Circular Scan Order Interpolation (CSOI) technique and Partitioning Motion Compensation (PMC) technique is proposed for the color intra-frames loss concealment. For the corrupted color inter-frames, a joint approach of Directional Textural Motion Coherence (DTMC) technique and Directional Interpolation Error Concealment (DIEC) technique is suggested. To estimate more additional depth-aided DVs and MVs for recovering the erroneous depth frames, a depth-assisted error recovery technique is suggested. These depth-estimated motion and disparity vectors are then added together with the estimated candidate texture DVs and MVs for reconstructing the corrupted color-plus-depth frames. Finally, the best color-plus-depth MVs and DVs are chosen by the Decoder Motion Vector Estimation (DMVE) and DIEC techniques. Simulation outcomes on various 3D video frames elucidate that the suggested hybrid color plus depth EC techniques achieve high robustness at high Packet Loss Rates (PLRs). Keywords: Packet loss concealment, 3D multi-view video, Motion and disparity compensation, Depth maps, Spatio-temporal-inter-view correlations, Wireless channels