{"title":"Robust digital image-in-video watermarking for the emerging H.264/AVC standard","authors":"Jing Zhang, A. Ho","doi":"10.1109/SIPS.2005.1579947","DOIUrl":null,"url":null,"abstract":"A novel grayscale watermark pre-processing and a robust video watermarking algorithm for the emerging video coding standard H.264/AVC are proposed in this paper for the copyright protection application. This algorithm can insert grayscale watermark patterns such as detailed trademarks or logos into the low bit-rate H.264/AVC videos in the compressed domain with good robustness and high capacity. The marked video sequences maintain good visual quality and the same overall consuming bit-rate. The proposed algorithm can robustly survive transcoding process and common signal processing, such as bit-rate reduction, Gaussian filtering and contrast enhancement.","PeriodicalId":436123,"journal":{"name":"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Signal Processing Systems Design and Implementation, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2005.1579947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
A novel grayscale watermark pre-processing and a robust video watermarking algorithm for the emerging video coding standard H.264/AVC are proposed in this paper for the copyright protection application. This algorithm can insert grayscale watermark patterns such as detailed trademarks or logos into the low bit-rate H.264/AVC videos in the compressed domain with good robustness and high capacity. The marked video sequences maintain good visual quality and the same overall consuming bit-rate. The proposed algorithm can robustly survive transcoding process and common signal processing, such as bit-rate reduction, Gaussian filtering and contrast enhancement.