Proposed enhanced hybrid framework for efficient 3D-MVC and 3D-HEVC wireless communication

Abstract

The streaming of Three-Dimensional Video (3DV) over erroneous wireless channels causes Macro-Blocks (MBs) corruptions. Thus, the efficient performance of 3DV communication techniques over wireless channels has become an interesting research topic because of the restricted resources and the existence of severe communication losses. The 3DV consists of various video sequences captured via multiple cameras surrounding an object, and working simultaneously. Therefore, there is a need to achieve high encoding efficiency. Unfortunately, the highly-compressed 3DV content is subject to communication channel corruptions. Thus, in this research, we suggest the utilization of a chaotic randomization technique based on Baker map with convolution coding and equalization for high-quality 3D Multi-view Video Coding (MVC) and High Efficiency Video Coding (HEVC) transmission over an Orthogonal Frequency Division Multiplexing (OFDM) wireless system. Rayleigh fading and Additive White Gaussian Noise (AWGN) are considered in this paper in a real scenario of 3DV transmission. Firstly, the 3DV volume is compressed making use of the intra- and inter-prediction correlations between frames. Then, the compressed 3D-MVC and 3D-HEVC frames are converted into binary data format. After that, the chaotic randomization technique is employed before the modulation stage. It is utilized to minimize the channel corruptions on the streamed encoded 3DV data, and it as well introduces a degree of encryption to the transmitted 3DV frames. To evaluate the efficiency of the suggested hybrid framework; different simulations on several 3D-MVC and 3D-HEVC frames have been executed. The results prove that the delivered 3DV frames with the suggested framework have high Peak Signal-to-Noise Ratios (PSNRs).