一种基于低频分量的音频水印技术

Hamad Alaryani, Abdou Youssef
{"title":"一种基于低频分量的音频水印技术","authors":"Hamad Alaryani, Abdou Youssef","doi":"10.1109/ISM.2005.16","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel audio watermarking technique that utilizes the low frequency components (LFCs) of an audio signal to identify the location of the embedded watermarks. The embedding takes place by modifying the amplitude of selected samples determined by the LFCs of the audio signal. The amount of modification to the amplitude is determined by the amount of distortion detected by the human ear. This technique is blind where the decoder does not need the original audio file to extract the watermarks. In this technique, we use a novel data recovery scheme to recover any watermarks that were lost because of an intentional or unintentional attempt of watermark removal (attack). Experimental results show that this technique is highly robust against single and double attacks with watermark recovery rates greater than 90%.","PeriodicalId":322363,"journal":{"name":"Seventh IEEE International Symposium on Multimedia (ISM'05)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"A novel audio watermarking technique based on low frequency components\",\"authors\":\"Hamad Alaryani, Abdou Youssef\",\"doi\":\"10.1109/ISM.2005.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a novel audio watermarking technique that utilizes the low frequency components (LFCs) of an audio signal to identify the location of the embedded watermarks. The embedding takes place by modifying the amplitude of selected samples determined by the LFCs of the audio signal. The amount of modification to the amplitude is determined by the amount of distortion detected by the human ear. This technique is blind where the decoder does not need the original audio file to extract the watermarks. In this technique, we use a novel data recovery scheme to recover any watermarks that were lost because of an intentional or unintentional attempt of watermark removal (attack). Experimental results show that this technique is highly robust against single and double attacks with watermark recovery rates greater than 90%.\",\"PeriodicalId\":322363,\"journal\":{\"name\":\"Seventh IEEE International Symposium on Multimedia (ISM'05)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh IEEE International Symposium on Multimedia (ISM'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISM.2005.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh IEEE International Symposium on Multimedia (ISM'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2005.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

摘要

在本文中,我们提出了一种新的音频水印技术,该技术利用音频信号的低频分量(lfc)来识别嵌入水印的位置。通过修改由音频信号的lfc确定的选定样本的幅度来进行嵌入。幅度的修改量由人耳检测到的失真量决定。这种技术是盲目的,因为解码器不需要原始音频文件来提取水印。在该技术中,我们使用一种新颖的数据恢复方案来恢复由于有意或无意的水印删除(攻击)而丢失的任何水印。实验结果表明,该方法对单次攻击和双次攻击具有很强的鲁棒性,水印恢复率大于90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel audio watermarking technique based on low frequency components
In this paper, we present a novel audio watermarking technique that utilizes the low frequency components (LFCs) of an audio signal to identify the location of the embedded watermarks. The embedding takes place by modifying the amplitude of selected samples determined by the LFCs of the audio signal. The amount of modification to the amplitude is determined by the amount of distortion detected by the human ear. This technique is blind where the decoder does not need the original audio file to extract the watermarks. In this technique, we use a novel data recovery scheme to recover any watermarks that were lost because of an intentional or unintentional attempt of watermark removal (attack). Experimental results show that this technique is highly robust against single and double attacks with watermark recovery rates greater than 90%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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