Title: Multi-view video codec using compressive sensing for wireless video sensor networks

Authors: Veeraputhiran Angayarkanni; S. Radha; V. Akshaya

Addresses: Department of Electronics and Communication Engineering, SSN College of Engineering, Chennai, 603110, Tamil Nadu, India ' Department of Electronics and Communication Engineering, SSN College of Engineering, Chennai, 603110, Tamil Nadu, India ' Department of Electronics and Communication Engineering, SSN College of Engineering, Chennai, 603110, Tamil Nadu, India

Abstract: In monitoring applications, different views are needed to be captured by multi-view video sensor nodes for understanding the scene clearly. These multi-view sequences have large volume of redundant data which affects the storage, transmission, bandwidth and lifetime of wireless video sensor nodes. A low complex coding technique is required for addressing these issues and for processing multi-view sensor data. Hence, in this paper, a framework on CS-based multi-view video codec using frame approximation technique (CMVC-FAT) is proposed. Quantisation with entropy coding based on frame skipping is adopted for achieving efficient video compression. For better prediction of skipped frame at receiver, a frame approximation technique (FAT) algorithm is proposed. Simulation results reveal that CMVC-FAT framework outperforms the existing method with achievement of 86.5% reduction in time and bits. Also, it shows 83.75% reduction in transmission energy compared with raw frame.

Keywords: multi-view encoding; compressed sensing; CS; distributed video coding; DVC; frame approximation; wireless video sensor networks; WVSNs.

DOI: 10.1504/IJMC.2019.102723

International Journal of Mobile Communications, 2019 Vol.17 No.6, pp.727 - 745

Received: 24 Jul 2017
Accepted: 27 Jul 2018
Published online: 02 Oct 2019 *

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