Research Article
Data Partition Based Error Resilience Technique in Multiview Video Communication
@INPROCEEDINGS{10.4108/eai.25-10-2023.2348704, author={Sagir Lawan and Isa Danjuma and Aliyu Sabo and Mojeed Salawu}, title={Data Partition Based Error Resilience Technique in Multiview Video Communication }, proceedings={Proceedings of the 3rd International Multi-Disciplinary Conference: “Integrated Sciences and Technologies”, IMDC-IST 2023, 25-27 October 2023, Yola, Nigeria}, publisher={EAI}, proceedings_a={IMDC-IST}, year={2024}, month={8}, keywords={error resilience 3d video data partitioning wireless communication}, doi={10.4108/eai.25-10-2023.2348704} }- Sagir Lawan
Isa Danjuma
Aliyu Sabo
Mojeed Salawu
Year: 2024
Data Partition Based Error Resilience Technique in Multiview Video Communication
IMDC-IST
EAI
DOI: 10.4108/eai.25-10-2023.2348704
Abstract
In recent years, there is increasing realization of the importance of Multiview video (3D) video transmission over wireless technology. However, a major problem with in the wireless environment is unexpected setback due to circumstances of persistent noise. Burst error from noisy environment severely affects transmission of most capable 3D video communications systems. This paper, present a compressed multi view video bitstream data partitioned according to the coding priority. These enable selective dropping in a crowded channel and prioritised wireless transmission. After an interruption, the data stream is restored to its previous strength using H.264/Advanced Video Coding (AVC). Three separate packets make up the multi-view video stream after the algorithm divides it. Data from macroblocks (MBs) that were intra-coded and added for non-periodic intra-refresh was used in the data partition that contained intra-coded residuals. Compression at low bit rates inevitably leads to quality loss owing to mistakes, according to the simulation results. However, when evaluated in terms of the quality of the reconstructed video sequence, the performance of video coding methods was shown to have been enhanced by 10%. At the same time, 3D video transmission are also increasingly reliant on networks and networked imperilment are taken seriously at software. Also, there was a record of 7 dB improvement in Peak Signal-to-Noise Ratio (PSNR).