{"title":"A new algorithm for collusion resistant video watermarking","authors":"P. Vinod, P. Bora","doi":"10.1109/ICIP.2004.1421369","DOIUrl":null,"url":null,"abstract":"This paper presents a new algorithm for collusion resistant multibit video watermarking. Video frames from the same scene of the video sequence are decomposed into wavelet coefficient frames by temporal wavelet transform and the watermark is embedded into the low-pass temporal frames. Embedding is done in the DCT domain of the low-pass temporal wavelet frames by applying the perceptual masking properties of the DCT coefficients. The watermark decoder is a blind statistical decoder. In the decoder, the underlying probability distribution of the mid-frequency DCT coefficients of the temporal low-pass wavelet frames is approximated by the generalized Gaussian distribution. The robustness of the proposed algorithm against different video degradations and distortions is evaluated and presented.","PeriodicalId":184798,"journal":{"name":"2004 International Conference on Image Processing, 2004. ICIP '04.","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 International Conference on Image Processing, 2004. ICIP '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2004.1421369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a new algorithm for collusion resistant multibit video watermarking. Video frames from the same scene of the video sequence are decomposed into wavelet coefficient frames by temporal wavelet transform and the watermark is embedded into the low-pass temporal frames. Embedding is done in the DCT domain of the low-pass temporal wavelet frames by applying the perceptual masking properties of the DCT coefficients. The watermark decoder is a blind statistical decoder. In the decoder, the underlying probability distribution of the mid-frequency DCT coefficients of the temporal low-pass wavelet frames is approximated by the generalized Gaussian distribution. The robustness of the proposed algorithm against different video degradations and distortions is evaluated and presented.