Walid El-Shafai
Menoufia University, Egypt
Title: Joint Adaptive Pre-processing Resilience and Post-processing Concealment Schemes for 3D Video Transmission
Biography
Biography: Walid El-Shafai
Abstract
3D Multi-View Video (MVV) is multiple video streams shot by several cameras around a single scene simultaneously. In Multi-view Video Coding (MVC), the spatio-temporal and interview correlations between frames and views can be used for error concealment. 3D video transmission over erroneous networks is still a considerable issue due to restricted resources and the presence of severe channel errors. Efficiently compressing 3D video with low transmission rate, while maintaining a high quality of received 3D video, is very challenging. Since it is not plausible to re-transmit all the corrupted Macro-Blocks (MBs) due to real time applications and limited resources. Thus it is mandatory to retrieve the lost MBs at the decoder side using sufficient post-processing schemes, such as Error Concealment (EC). Error Concealment (EC) algorithms have the advantage of improving the received 3D video quality without any modifications in the transmission rate or in the encoder hardware or software. In this presentation, I will explore a lot of and different Adaptive Multi-Mode EC (AMMEC) algorithms at the decoder based on utilizing various and adaptive pre-processing techniques, i.e. Flexible Macro-block Ordering Error Resilience (FMO-ER) at the encoder; to efficiently conceal and recover the erroneous MBs of intra and inter coded frames of the transmitted 3D video. Also, I will present extensive experimental simulation results to show that our proposed novel schemes can significantly improve the objective and subjective 3D video quality.