{"title":"多个音频水印的盲检测","authors":"Michael Arnold, Zongwei Huang","doi":"10.1109/WDM.2001.990152","DOIUrl":null,"url":null,"abstract":"The paper presents the extension of an audio watermarking approach to the blind detection of multiple watermarks. The underlying statistical watermarking method working in the Fourier domain with different test functions is investigated. The extension of this semiprivate watermarking method to enable blind detection is presented. To enable the embedding of multiple watermarks, the algorithm distributes the different watermarks in individual frequency bands. Several experiments verify the theory and show the different robustness levels of the watermarks. Enhancements and variations of the algorithm are discussed.","PeriodicalId":280252,"journal":{"name":"Proceedings First International Conference on WEB Delivering of Music. WEDELMUSIC 2001","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Blind detection of multiple audio watermarks\",\"authors\":\"Michael Arnold, Zongwei Huang\",\"doi\":\"10.1109/WDM.2001.990152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the extension of an audio watermarking approach to the blind detection of multiple watermarks. The underlying statistical watermarking method working in the Fourier domain with different test functions is investigated. The extension of this semiprivate watermarking method to enable blind detection is presented. To enable the embedding of multiple watermarks, the algorithm distributes the different watermarks in individual frequency bands. Several experiments verify the theory and show the different robustness levels of the watermarks. Enhancements and variations of the algorithm are discussed.\",\"PeriodicalId\":280252,\"journal\":{\"name\":\"Proceedings First International Conference on WEB Delivering of Music. WEDELMUSIC 2001\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings First International Conference on WEB Delivering of Music. WEDELMUSIC 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WDM.2001.990152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings First International Conference on WEB Delivering of Music. WEDELMUSIC 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WDM.2001.990152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents the extension of an audio watermarking approach to the blind detection of multiple watermarks. The underlying statistical watermarking method working in the Fourier domain with different test functions is investigated. The extension of this semiprivate watermarking method to enable blind detection is presented. To enable the embedding of multiple watermarks, the algorithm distributes the different watermarks in individual frequency bands. Several experiments verify the theory and show the different robustness levels of the watermarks. Enhancements and variations of the algorithm are discussed.