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Quantization and security enabled compressive video CODEC for WSN

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Abstract

Real time image and video transmission in surveillance applications need efficient video coding and security. Recent advances in computer vision have enabled the development of highly secured compressive video codec framework based on compressed sensing (CS) for video surveillance. This paper presents an efficient quantization and security enabled compressive video codec (QSCVC) framework compatible for wireless multimedia sensor networks. QSCVC focuses on secured transmission of the quantized CS measurements using scrambling. The security is ensured by the key controlled scrambler and descrambler algorithm used at the encoder and decoder respectively. On an average saving percentage of the QSCVC framework with quantization exceeds 13.19% without quantization and it is also observed that an average data rate of 736 Kbps is achieved. It is also proved that there is a 97.54% reduction in transmission energy when compared with raw frame transmission.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, SSN College of Engineering, Chennai, 603110, India

    Angayarkanni Veeraputhiran & Radha Sankararajan

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  1. Angayarkanni Veeraputhiran
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  2. Radha Sankararajan
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Correspondence to Angayarkanni Veeraputhiran.

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Veeraputhiran, A., Sankararajan, R. Quantization and security enabled compressive video CODEC for WSN. Multimed Tools Appl 77, 15677–15694 (2018). https://doi.org/10.1007/s11042-017-5140-9

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  • DOI: https://doi.org/10.1007/s11042-017-5140-9

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