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A review on robust video copy detection

机译：综述强大的视频副本检测

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摘要

The unprecedented escalation and proliferation of digital multimedia and Internet technology have triggered the enormous copyright infringement issues and tampering of digital content. Detection or localization of copy-paste forgery of digital content and distinguishing between original and manipulated video have become a weighty challenge at the present era of multimedia technology. Several distortions such as rotation, scaling and gamma correction are applied into an original video by an adversary to manipulate the original video for copyright infringement. Due to the emergence of ubiquitous digital videos on the Internet and to surpass the challenges, various copy detection schemes have been introduced by several researchers. Many real-time applications such as detection of duplicate Web videos and monitoring of real-time TV commercial media content over multi-broadcast channels require the robust copy detection approach for high security purpose. The other applications include the rapid advancement of video navigation and editing technology such as finding the opening sequence of a TV show and combining or editing similar versions of the same video for copyright infringement. This paper depicts a comprehensive overview of robust visual hashing to identify similar video contents for digital piracy detection, which overcomes the demerits of conventional cryptographic hash functions and watermarking. The paramount goal of this scheme is to generate the perceptual hash code of fixed size of length from video segments which are robust against distinct distortions or attacks such as scaling, rotation, compression, frame rate change, frame dropping, contrast enhancement, etc., made by an adversary. Besides, in this paper, distinct state-of-the-art schemes used for copy detection have been studied thoroughly and classified based on the methodology they have implemented.
机译：数字多媒体和互联网技术的前所未有的升级和扩散引发了巨大的版权侵权问题和篡改数字内容。数字内容的副本贴伪造的检测或定位，并区分原始和操纵视频的思考已经成为当前多媒体技术时代的重量挑战。诸如旋转，缩放和伽马校正的几种扭曲被对手应用于原始视频，以操纵原始视频以进行版权侵权。由于互联网上无处不在的数字视频的出现并超越了挑战，几个研究人员介绍了各种拷贝检测方案。许多实时应用，例如检测重复的网络视频和在多广播通道上监视实时电视商业媒体内容，需要用于高安全性的鲁棒复制检测方法。其他应用包括视频导航和编辑技术的快速进步，例如寻找电视节目的开放序列，并组合或编辑相同视频的类似版本以获取版权侵权。本文描绘了稳健的视觉散列综合概述，以识别数字盗版检测的类似视频内容，这克服了传统加密散列函数和水印的缺点。该方案的最重要目标是从视频段生成固定大小的长度的感知哈希码，这是对不同的失真或攻击等缩放，旋转，压缩，帧速率变化，帧滴，对比度增强等的攻击，由对手制作。此外，在本文中，基于它们实施的方法彻底和分类了用于拷贝检测的不同最先进的方案。

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