Content adaptive watermarking for multimedia fingerprinting
Saved in:
| Title: | Content adaptive watermarking for multimedia fingerprinting |
|---|---|
| Authors: | Lin, Yu-Tzu1 linyt@cmlab.csie.ntu.edu.tw, Wu, Ja-Ling1,2 |
| Source: | Computer Standards & Interfaces. Jul2008, Vol. 30 Issue 5, p271-287. 17p. |
| Subjects: | Multimedia systems, Information storage & retrieval systems, Computer systems, Image retrieval |
| Abstract: | Abstract: This paper presents a feasible system for multimedia fingerprinting. One of the important problems of fingerprinting is watermarking strategies for the fingerprints, in other words, where to embed and how to embed. We address these two major problems of fingerprint-watermarking for multimedia in the proposed content-adaptive watermarking scheme. First, the fingerprint codes are often very long if the applicable resisting ability to colluders and large customer bases are needed. As a result, the acute degradation of fingerprinted content may be unacceptable. We design a strength-decision algorithm, on the basis of neural networks, to adaptively embed the long-length fingerprints with suitable magnitudes to different image regions. This adaptive watermarking technique maintains the equilibrium of the robustness and the imperceptibility without the effort to deal with visual models. Second, we analyze the disturbance of collusion attacks on images and propose an optimization algorithm which can select better embedding positions to resist collusion attacks and preserve acceptable transparency of the watermark according to different multimedia contents. In addition, we consider the lossy property of multimedia watermarking and use a sequential detection strategy to identify colluders, which can tolerate erasures and errors possibly induced in the watermarking process or communication channel. Experimental results show the high detection correctness of traitor tracing. It implies that our fingerprinting system, constructed by applying c-TA code to the content-adaptive watermarking scheme and a sequential detection algorithm, is effective for multimedia application. One can replace the fingerprint codes in our system with other existing codes to obtain effective fingerprinting systems with higher tracing correctness and practical parameters (reasonable collusion-resilience and applicable size of customer bases). [Copyright &y& Elsevier] |
| Copyright of Computer Standards & Interfaces is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 31924176 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Content adaptive watermarking for multimedia fingerprinting – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lin%2C+Yu-Tzu%22">Lin, Yu-Tzu</searchLink><relatesTo>1</relatesTo><i> linyt@cmlab.csie.ntu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Ja-Ling%22">Wu, Ja-Ling</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Standards+%26+Interfaces%22">Computer Standards & Interfaces</searchLink>. Jul2008, Vol. 30 Issue 5, p271-287. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multimedia+systems%22">Multimedia systems</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Image+retrieval%22">Image retrieval</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: This paper presents a feasible system for multimedia fingerprinting. One of the important problems of fingerprinting is watermarking strategies for the fingerprints, in other words, where to embed and how to embed. We address these two major problems of fingerprint-watermarking for multimedia in the proposed content-adaptive watermarking scheme. First, the fingerprint codes are often very long if the applicable resisting ability to colluders and large customer bases are needed. As a result, the acute degradation of fingerprinted content may be unacceptable. We design a strength-decision algorithm, on the basis of neural networks, to adaptively embed the long-length fingerprints with suitable magnitudes to different image regions. This adaptive watermarking technique maintains the equilibrium of the robustness and the imperceptibility without the effort to deal with visual models. Second, we analyze the disturbance of collusion attacks on images and propose an optimization algorithm which can select better embedding positions to resist collusion attacks and preserve acceptable transparency of the watermark according to different multimedia contents. In addition, we consider the lossy property of multimedia watermarking and use a sequential detection strategy to identify colluders, which can tolerate erasures and errors possibly induced in the watermarking process or communication channel. Experimental results show the high detection correctness of traitor tracing. It implies that our fingerprinting system, constructed by applying c-TA code to the content-adaptive watermarking scheme and a sequential detection algorithm, is effective for multimedia application. One can replace the fingerprint codes in our system with other existing codes to obtain effective fingerprinting systems with higher tracing correctness and practical parameters (reasonable collusion-resilience and applicable size of customer bases). [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Standards & Interfaces is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=31924176 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.csi.2007.08.012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 271 Subjects: – SubjectFull: Multimedia systems Type: general – SubjectFull: Information storage & retrieval systems Type: general – SubjectFull: Computer systems Type: general – SubjectFull: Image retrieval Type: general Titles: – TitleFull: Content adaptive watermarking for multimedia fingerprinting Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin, Yu-Tzu – PersonEntity: Name: NameFull: Wu, Ja-Ling IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 09205489 Numbering: – Type: volume Value: 30 – Type: issue Value: 5 Titles: – TitleFull: Computer Standards & Interfaces Type: main |
| ResultId | 1 |
