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Robust distributed video coding for wireless multimedia sensor networks

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Abstract

Coding complexity and error-resilience are the two key factors for video streaming in Wireless Multimedia Sensor Networks (WMSNs). Towards this objective, this paper proposes a Robust Distributed Video Coding (RDVC) framework to optimize the quality of video transmission for WMSNs. A new error-resilient Key frame coding scheme is proposed based on the protection of Wyner-Ziv Coding (WZC), in which additional Wyner-Ziv bits play a significant role for better error resilience and better Rate/Distortion (RD) performance. In addition, following the theoretical background of Distributed Joint Source Channel Coding (DJSCC), a novel distributed source channel codec based on Group Puncture Rate Adaptive IRA code (GPRA-IRA) is proposed, upon which the error-resilient Wyner-Ziv codec is designed. These experimental results show that the proposed RDVC scheme outperforms the relevant coding in terms of RD performance, notably by up to 1-3 dB, while achieving a lower encoding complexity.

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Acknowledgements

This work was supported by the Fundamental Research Funds for the Central Universities (2015SCU04A11) and the National Natural Science Foundation of China Grant No. 61471248.

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Correspondence to Linbo Qing.

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Yang, H., Qing, L., He, X. et al. Robust distributed video coding for wireless multimedia sensor networks. Multimed Tools Appl 77, 4453–4475 (2018). https://doi.org/10.1007/s11042-016-4245-x

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  • DOI: https://doi.org/10.1007/s11042-016-4245-x

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