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Progressively refined scheme for wireless video sensor networks

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Abstract

In Wireless Video Sensor Networks (WVSNs), the performance of video coding is typically influenced by the condition of wireless channels and the limited battery energy available at the sensor nodes. In order to deal with the video transmission, wireless channel losses and coding complexity issues in WVSNs, this paper proposes a novel Progressively Refined Scheme (PRS) in the context of a Distributed Video Coding (DVC) system. The main contributions include: (1) An Error Concealment (EC) algorithm as the first step of the PRS; (2) The design of the Repair Layers (RLs) based on Parallel Irregular Repeat Accumulate (PIRA) codes; (3) The progressive decoder of the PRS based on the refinement of Bit Planes (BP). The proposed PRS can significantly improve the quality of the Side Information (SI) and the reconstructed frames, thus leading to better Rate-Distortion (RD) performance for the Distributed Video Coding system. Experimental results show that the proposed PRS can achieve much better performance than the non-PRS in the presence of losses. In particular, the PSNR is increased by about 2 dB ~ 5 dB by adding 300kbps ~ 400kbps RLs and the RD performance of the whole DVC system is increased by about 2 ~ 3 dB PSNR for the same bit rate or, conversely, bit rate savings equal to about 50% are possible when compared with non-PRS based systems.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China No: 61871278.

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Authors and Affiliations

  1. College of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, 1st Ring Road, Chengdu, Sichuan, 610065, People’s Republic of China

    Hong Yang, Linbo Qing & Xiaohai He

  2. Chengdu University of Information Technology, No.24 Block 1, Xuefu Road, Chengdu, 610225, People’s Republic of China

    Jia Yang

Authors
  1. Hong Yang
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  2. Linbo Qing
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  3. Jia Yang
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  4. Xiaohai He
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Correspondence to Linbo Qing.

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Yang, H., Qing, L., Yang, J. et al. Progressively refined scheme for wireless video sensor networks. SIViP 16, 1435–1442 (2022). https://doi.org/10.1007/s11760-021-02064-4

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