Title: A review of the state-of-the-art distributed compressive video sensing architectures

Authors: Noreen Imran; Boon-Chong Seet; A.C.M. Fong

Addresses: School of Engineering, Auckland University of Technology, Level 3, Science and Engineering Building (WS), 34 St. Paul Street, City Campus, Auckland 1010, New Zealand ' School of Engineering, Auckland University of Technology, Level 3, Science and Engineering Building (WS), 34 St. Paul Street, City Campus, Auckland 1010, New Zealand ' School of Computing and Mathematical Sciences, Auckland University of Technology, Wakefield Campus, AUT Tower, Level 1 (Wakefield St Entrance), 2-14 Wakefield St, Auckland 1010, New Zealand

Abstract: Low complexity video coding that provides efficient compression with reasonable reconstruction quality has been a desired requirement for resource-constrained video sensors in distributed vision-based sensing applications. In this paper, we present a review of the state-of-the-art codec architectures based on distributed compressive video sensing (DCVS), which is a relatively new video coding paradigm that integrates the techniques of distributed video coding (DVC) and compressive sensing (CS). The review includes a comparative discussion of several well-known DCVS architectures in literature with a focus on their functional aspects, and suggests a number of possible enhancements to the design of these architectures.

Keywords: distributed video coding; DVC; compressive sensing; compressive sampling; distributed compressive video sensing; DCVS architectures.

DOI: 10.1504/IJCAT.2014.063904

International Journal of Computer Applications in Technology, 2014 Vol.50 No.1/2, pp.3 - 17

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 25 Jul 2014 *

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