{"title":"A DTCWT-SVD Based Video Watermarking Resistant to Frame Rate Conversion","authors":"Yifei Wang, Qichao Ying, Zhenxing Qian, Sheng Li, Xinpeng Zhang","doi":"10.1109/CoST57098.2022.00017","DOIUrl":null,"url":null,"abstract":"Videos can be easily tampered, copied and redistributed by attackers for illegal and monetary usage. Such behaviors severely jeopardize the interest of content owners. Despite huge efforts made in digital video watermarking for copyright protection, typical distortions in video transmission can still easily erase the embedded signal. Among them, temporal synchronization attacks is one of the most prevalent attacks. To address this issue, we present a new video watermarking based on joint Dual-Tree Cosine Wavelet Transform (DTCWT) and Singular Value Decomposition (SVD), which is resistant to frame rate conversion. We simulate the watermark embedding by adjusting the shape of candidate coefficient and perform group-level watermarking that includes moderate temporal redundancy to resist temporal synchronization attacks. Extensive experimental results show that the proposed scheme is more resilient to temporal synchronization attacks and performs better than the existing blind video watermarking schemes.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoST57098.2022.00017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Videos can be easily tampered, copied and redistributed by attackers for illegal and monetary usage. Such behaviors severely jeopardize the interest of content owners. Despite huge efforts made in digital video watermarking for copyright protection, typical distortions in video transmission can still easily erase the embedded signal. Among them, temporal synchronization attacks is one of the most prevalent attacks. To address this issue, we present a new video watermarking based on joint Dual-Tree Cosine Wavelet Transform (DTCWT) and Singular Value Decomposition (SVD), which is resistant to frame rate conversion. We simulate the watermark embedding by adjusting the shape of candidate coefficient and perform group-level watermarking that includes moderate temporal redundancy to resist temporal synchronization attacks. Extensive experimental results show that the proposed scheme is more resilient to temporal synchronization attacks and performs better than the existing blind video watermarking schemes.
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