Identifying the source of movie piracy: cryptographic fingerprinting for tracking movie content

ArulKumaran Chandrasekaran
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Abstract

Background: The unauthorized distribution of movies through piracy has become a widespread issue affecting both movie studios and OTT streaming partners. This research introduces a novel method utilizing cryptographic fingerprinting to track movie content, with the goal of identifying the precise source of piracy. Methods: The developed specialized software that utilizes the cryptographic fingerprinting algorithm to analyze pirated movie content obtained from various online piracy platforms. The software employs computer vision techniques to identify the source of piracy, including the specific theatre, showtime, and recording location within the theatre.   Results: Our experiments demonstrated the effectiveness of the proposed cryptographic fingerprinting approach. The software successfully detected and analyzed pirated movie content from a wide range of online piracy platforms. Conclusions: The cryptographic fingerprinting technique allows for the identification of the source of piracy, including the specific theatre, showtime, and recording location within the theatre. By swiftly reporting these details, our software aims to aid in the prevention of future piracy incidents, ultimately eliminating the source of piracy.
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识别电影盗版的来源:用于跟踪电影内容的加密指纹
背景:通过盗版未经授权的电影发行已经成为影响电影工作室和OTT流媒体合作伙伴的普遍问题。本文介绍了一种利用加密指纹技术跟踪电影内容的新方法,目的是准确识别盗版来源。方法:开发专用软件,利用加密指纹算法,对从各种网络盗版平台获取的盗版电影内容进行分析。该软件采用计算机视觉技术来识别盗版来源,包括特定的剧院、放映时间和剧院内的录制位置。结果:我们的实验证明了所提出的加密指纹识别方法的有效性。该软件成功地检测和分析了来自各种在线盗版平台的盗版电影内容。结论:加密指纹技术可以识别盗版来源,包括具体的剧院、放映时间和剧院内的录制位置。通过迅速报告这些细节,我们的软件旨在帮助防止未来的盗版事件,最终消除盗版的来源。
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