Hybrid Watermark Fingerprint Algorithm for H.264 Compressed Video Authentication

Kelkoul Houria, Y. Zaz, T. Mantoro
{"title":"Hybrid Watermark Fingerprint Algorithm for H.264 Compressed Video Authentication","authors":"Kelkoul Houria, Y. Zaz, T. Mantoro","doi":"10.1109/ICCED.2018.00056","DOIUrl":null,"url":null,"abstract":"In Midst of several video format, H.264 was found to be of important rank vis-à-vis its compact bandwidth. Today, internet users can easily and rapidly generate a perfect duplicate of audiovisual with sizeable measures of content characteristics and quality. Subsequently, this has elevated interests about copyright protection against audiovisual content pirating and illegal media duplications. This study proposes a solution in the digital copyright protection by developing an algorithm destined to h.264 video authentication scheme. Thanks to the complementary nature between fingerprinting and watermarking technologies, which makes our algorithm enhances security by exploring the spatio-temporal features of the compressed video content. An audio fingerprinting code was extracted from the audio signal and then embedded in H.264 video signals trough DCT domain. From the experimental results, it proves that the proposed contribution can jointly achieve both copyright protection and authentication.","PeriodicalId":166437,"journal":{"name":"2018 International Conference on Computing, Engineering, and Design (ICCED)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computing, Engineering, and Design (ICCED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCED.2018.00056","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

In Midst of several video format, H.264 was found to be of important rank vis-à-vis its compact bandwidth. Today, internet users can easily and rapidly generate a perfect duplicate of audiovisual with sizeable measures of content characteristics and quality. Subsequently, this has elevated interests about copyright protection against audiovisual content pirating and illegal media duplications. This study proposes a solution in the digital copyright protection by developing an algorithm destined to h.264 video authentication scheme. Thanks to the complementary nature between fingerprinting and watermarking technologies, which makes our algorithm enhances security by exploring the spatio-temporal features of the compressed video content. An audio fingerprinting code was extracted from the audio signal and then embedded in H.264 video signals trough DCT domain. From the experimental results, it proves that the proposed contribution can jointly achieve both copyright protection and authentication.
H.264压缩视频认证的混合水印指纹算法
在众多视频格式中,H.264由于其紧凑的带宽而具有重要的地位。今天,互联网用户可以轻松快速地生成具有相当内容特征和质量的完美音像副本。随后,这提高了人们对防止视听内容盗版和非法媒体复制的版权保护的兴趣。本文提出了一种针对h.264视频认证方案的数字版权保护解决方案。由于指纹识别技术和水印技术之间的互补性,使得我们的算法通过探索压缩视频内容的时空特征来增强安全性。从音频信号中提取音频指纹码,然后通过DCT域嵌入到H.264视频信号中。实验结果表明,所提出的贡献算法可以同时实现版权保护和认证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信