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PSYCHO-VISUAL-MODEL BASED VIDEO WATERMARK GAIN ADAPTATION

机译:基于心理视觉模型的视频水印增益自适应

摘要

A method for embedding video watermarks. Areas of poor visual quality in a video content having embedded watermarks are determined. The watermark symbols replace pixels in the video content with pixels in which the luma values are modulated such the luma value for a 0 bit renders as black and the luma value for a 1 bit renders a shade of gray. The luma value for the 1 bit level is reduced in those areas determined to have poor visual quality. Areas of poor visual quality may be determined by analyzing the luma values of pixels of the video content immediately adjacent to and below a particular watermark symbol to derive an adjacent brightness parameter that represents the perceptual brightness of the surrounding video content. The reduction of the luma value may be achieved by setting the 1 bit luma for a particular watermark symbol to be perceptually less bright than the adjacent brightness parameter.
机译:一种嵌入视频水印的方法。确定具有嵌入水印的视频内容中视觉质量差的区域。水印符号用调制亮度值的像素替换视频内容中的像素,使得0位的亮度值渲染为黑色,1位的亮度值渲染为灰色。在被确定为视觉质量差的区域,1位级别的luma值降低。视觉质量差的区域可以通过分析紧邻特定水印符号和在特定水印符号之下的视频内容的像素的亮度值来确定,以导出表示周围视频内容的感知亮度的相邻亮度参数。可以通过将特定水印符号的1位luma设置为比相邻亮度参数在感知上更弱的亮度来实现luma值的减小。

著录项

  • 公开/公告号WO2022066974A1

    专利类型

  • 公开/公告日2022-03-31

    原文格式PDF

  • 申请/专利权人 VERANCE CORPORATION;

    申请/专利号WO2021US51843

  • 申请日2021-09-23

  • 分类号G06T1;G06T7/10;H04N21/8358;

  • 国家 US

  • 入库时间 2022-08-25 00:18:36

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