Low complexity distributed video coding using compressed sensing

Roohi, Samad; Noorhosseini, Majid; Zamani, Jafar; Rad, Hamidreza Salighe

doi:10.1109/iranianmvip.2013.6779949

Cited by 7 publications

(1 citation statement)

References 12 publications

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“…DVC schemes without using channel codes and with limited feedback requests are proposed in [13,14]. Compressed sensing based DVC schemes [15,16] also achieve less encoder complexity. Especially for low motion applications skip mode based codec is proposed in [17].…”

Section: Introductionmentioning

confidence: 99%

Low‐complexity feedback‐channel‐free distributed video coding using local rank transform

Bhagath

Mallick²,

Mukherjee

et al. 2017

IET Image Processing

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Abstract:In this paper, we propose a new feedback-channel-free Distributed Video Coding (DVC) algorithm using Local Rank Transform (LRT). The encoder computes LRT by considering selected neighborhood pixels of Wyner-Ziv frame. The ranks from the modified LRT are merged, and their positions are entropy coded and sent to the decoder. In addition, means of each block of WynerZiv frame are also transmitted to assist motion estimation. Using these measurements, the decoder generates side information (SI) by implementing motion estimation and compensation in LRT domain. An iterative algorithm is executed on SI using LRT to reconstruct the Wyner-Ziv frame. Experimental results show that the coding efficiency of our codec is close to the efficiency of pixel domain distributed video coders based on Low-Density Parity Check and Accumulate (LDPCA) or turbo codes, with less encoder complexity.

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