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  • 标题:AN EFFICIENT DIGITAL VIDEO WATERMARKING SYSTEM ROBUST AGAINST VARIOUS SPATIAL, TEMPORAL, and SPATIO-TEMPORAL ATTACKS
  • 本地全文:下载
  • 作者:MANISH K THAKUR
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2018
  • 卷号:96
  • 期号:8
  • 出版社:Journal of Theoretical and Applied
  • 摘要:For many years information hiding techniques are playing major roles in achieving robustness against various malicious attacks on digital multimedia data of different application areas. The induction of digital watermarking has given these practices a new way in the field of information hiding to prevent the copyrighted multimedia data against various attacks. In this paper, we propose a generalised watermarking system which efficiently identifies various attacks in spatial, temporal, and spatio-temporal domain, viz. frame deletion, frame swapping, and frame copying, etc. Based on the timing information of each frame of a video, in the proposed scheme we first generate the unique watermarks (representing the timing information) in real time and then embed the auto generated watermark into 8 x 8 discrete cosine transform blocks of corresponding frames of a video. While extracting the watermarks from each frame of the watermarked video, any alterations in the sequence of the retrieved watermarks are the indication of the temporal attacks (frame deletion, etc.) in the copyrighted videos. Experiments have been conducted on self captured videos to analyze the performance of the proposed watermarking model. Performance of the proposed model has been measured in terms of the recall rate, i.e. ability of the proposed watermarking model to correctly detect the attacks in videos, quality of the watermarked videos and extracted watermarks using the quality metrics, Peak Signal to Noise Ratio (PSNR). Experimental results show the 100% recall rate in detection of the temporal attacks, if videos are manipulated in temporal domain only. Achieved recall rate is in between the range 86% and 91%, if videos are manipulated in spatio-temporal domain and it is 93%, if videos are spatially manipulated.
  • 关键词:Watermarking; Spatio-temporal attacks; Frame deletion; Frame swapping; Frame Copying
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