Title: Multi-hypothesis compressed video sensing by two-step iterative thresholding

Authors: Rui Chen; Ying Tong; Jie Yang; Minghu Wu

Addresses: School of Communications Engineering, Nanjing Institute of Technology, Nanjing, China ' School of Communications Engineering, Nanjing Institute of Technology, Nanjing, China ' School of Communications Engineering, Nanjing Institute of Technology, Nanjing, China ' School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China

Abstract: Traditional distributed video coding schemes achieved compression by using a single reference frame for side information, which plays a key-role in determining the performance of the codec. To refine side information, we propose a novel side information generation algorithm by using two neighbouring key frames as reference. The proposed algorithm uses multi-hypothesis predictions to fully utilise the intra and inter frame correlations. Three side information candidates are obtained by applying multi-hypothesis predictions and bi-directional motion estimation on the non-key frame and its bi-directional reference frames. The most similar candidate is chosen by calculating the correlation coefficients between the non-key frame and the three candidates. With the refined side information, the video frames are reconstructed by blocked compressed sensing with a smoothed project-landweber (BCS-SPL) algorithm. Experimental results demonstrate that the proposed algorithm outperforms the original schemes in refining the side information as well as improving the reconstruction performance.

Keywords: compressed sensing; multi-hypothesis prediction; distributed video coding; DVC; wireless sensor network; WSN.

DOI: 10.1504/IJIIDS.2018.092005

International Journal of Intelligent Information and Database Systems, 2018 Vol.11 No.2/3, pp.207 - 224

Received: 06 Sep 2017
Accepted: 16 Dec 2017
Published online: 24 May 2018 *

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