基于双通道盲水印的区块链存证视频版权保护机制
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Blockchain-based Evidence Storage for Video Copyright Protection Mechanism Based on Dual-channel Blind Watermarking
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    摘要:

    随着当代网络视频的盛行, 视频版权纠纷愈发严峻. 针对数字视频版权保护问题中水印鲁棒性薄弱、存证可信度低的核心痛点, 本文提出一种融合双通道盲水印与区块链存证的视频版权保护机制 DCW-BCPS. 通过二维码驱动的双通道盲水印机制(QR-driven dual-stream watermarking mechanism, QDSWM)在视频与音频流中同步嵌入版权标识, 双域协同既保障视频主观质量, 又结合区块链存证实现版权信息不可篡改, 实现全方位视频版权保护与多方位视频版权纠纷处理. 系统支持原创性审核、双通道联合验证及分级纠纷处置, 实验结果表明其水印在剪裁、帧交换、音频滤波等攻击下具备强鲁棒性, 水印提取NC (normalized correlation)值仍保持高位(视频帧交换攻击下NC值达0.9902, 剪裁10%攻击下NC值达0.6414), 区块链存证吞吐量达1125 TPS, 且GPU加速下单帧嵌入耗时低至12 ms, 适配高并发实时处理场景的工业落地需求, 为视频版权确权与侵权追溯提供有效技术支撑.

    Abstract:

    With the widespread dissemination of online videos, copyright disputes are becoming increasingly severe. To address the key challenges of weak watermark robustness and low credibility of evidence storage in digital video copyright protection, this study proposes a video copyright protection mechanism integrating dual-channel watermarking and blockchain-based copyright protection system (DCW-BCPS). In this mechanism, copyright identifiers are synchronously embedded into video and audio streams through a QR-driven dual-stream watermarking mechanism (QDSWM) scheme. The collaborative design across dual domains preserves subjective video quality while ensuring the immutability of copyright information through blockchain-based evidence storage, thereby enabling comprehensive video copyright protection and multi-level video copyright dispute resolution. The system supports originality verification, dual-channel joint verification, and hierarchical dispute handling. Experimental results demonstrate that the proposed watermark exhibits strong robustness against attacks such as cropping, frame swapping, and audio filtering, with high normalized correlation (NC) values maintained during watermark extraction, reaching 0.9902 under frame swapping attacks and 0.6414 under 10% cropping attack. Additionally, the blockchain-based evidence storage achieves a throughput of 1125 TPS, and the single-frame embedding time is reduced to 12 ms under GPU acceleration, satisfying the industrial deployment requirements of high-concurrency real-time processing scenarios. The proposed mechanism provides effective technical support for video copyright verification and infringement traceability.

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张子琦,陈思宇,田宏.基于双通道盲水印的区块链存证视频版权保护机制.计算机系统应用,2026,35(5):84-97

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  • 收稿日期:2025-10-10
  • 最后修改日期:2025-10-30
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  • 在线发布日期: 2026-04-02
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