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VSD: A Novel Method for Video Segmentation and Storage in DNA Using RS Code

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  • Jingwei Hong

    (College of Mathematics and Information Science, Hebei University, Baoding 071002, China
    Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
    These authors contributed equally to this work.)

  • Abdur Rasool

    (Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
    Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
    These authors contributed equally to this work.)

  • Shuo Wang

    (College of Mathematics and Information Science, Hebei University, Baoding 071002, China
    Key Laboratory of Machine Learning and Computational Intelligence, Hebei University, Baoding 071002, China)

  • Djemel Ziou

    (Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)

  • Qingshan Jiang

    (Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)

Abstract

As data continue to grow in complexity and size, there is an imperative need for more efficient and robust storage solutions. DNA storage has emerged as a promising avenue to solve this problem, but existing approaches do not perform efficiently enough on video data, particularly for information density and time efficiency. This paper introduces VSD, a pioneering encoding method for video segmentation and storage in DNA, leveraging the Reed–Solomon (RS) error correction code. This method addresses these limitations through an innovative combination of segmentation and encoding, accompanied by RS coding to bolster error resilience. Additionally, the method ensures that the GC-content of the resultant DNA sequences remains around 50%, which further enhances the storage robustness. The experimental results demonstrate the method has commendable encoding efficiency and offers a solution to the prevailing issue of time inefficiency and error correction rates in DNA storage. This groundbreaking approach paves the way for the practical and reliable storage of large-scale video data in DNA, heralding a new era in the domain of information storage.

Suggested Citation

  • Jingwei Hong & Abdur Rasool & Shuo Wang & Djemel Ziou & Qingshan Jiang, 2024. "VSD: A Novel Method for Video Segmentation and Storage in DNA Using RS Code," Mathematics, MDPI, vol. 12(8), pages 1-21, April.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:8:p:1235-:d:1379015
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    References listed on IDEAS

    as
    1. Nick Goldman & Paul Bertone & Siyuan Chen & Christophe Dessimoz & Emily M. LeProust & Botond Sipos & Ewan Birney, 2013. "Towards practical, high-capacity, low-maintenance information storage in synthesized DNA," Nature, Nature, vol. 494(7435), pages 77-80, February.
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