Robust video steganography algorithm using adaptive skin-tone detection.
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| Title: | Robust video steganography algorithm using adaptive skin-tone detection. |
|---|---|
| Authors: | Sadek, Mennatallah1 menna.sadek@cis.asu.edu.eg, Khalifa, Amal askhalifa@pnu.edu.sa, Mostafa, Mostafa1 mgmostafa@cis.asu.edu.eg |
| Source: | Multimedia Tools & Applications. Jan2017, Vol. 76 Issue 2, p3065-3085. 21p. |
| Subjects: | Cryptography, Adaptive codes, Wavelet transforms, Digital image processing, Skin |
| Abstract: | Human skin regions have recently drawn attention in the literature of data hiding due to its promising robustness characteristics. In this paper, we propose a blind adaptive data hiding algorithm for video files where human skin regions are regarded as the Regions Of Interest (ROI) hosting the embedding process. A skin map is created for each frame using an adaptive skin detection algorithm with reduced number of false positives. Then the skin map is converted to a skin-block-map in order to eliminate the error-prone skin pixels that can result in inefficient retrieval of the hidden data. Moreover, the embedding process is done using a wavelet quantization technique over the red and blue channels of the host frames for increased robustness. Experimental results showed the high imperceptibility of the proposed method as well as its robustness against MPEG-4 compression. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 120690610 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Robust video steganography algorithm using adaptive skin-tone detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sadek%2C+Mennatallah%22">Sadek, Mennatallah</searchLink><relatesTo>1</relatesTo><i> menna.sadek@cis.asu.edu.eg</i><br /><searchLink fieldCode="AR" term="%22Khalifa%2C+Amal%22">Khalifa, Amal</searchLink><i> askhalifa@pnu.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Mostafa%2C+Mostafa%22">Mostafa, Mostafa</searchLink><relatesTo>1</relatesTo><i> mgmostafa@cis.asu.edu.eg</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Jan2017, Vol. 76 Issue 2, p3065-3085. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cryptography%22">Cryptography</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+codes%22">Adaptive codes</searchLink><br /><searchLink fieldCode="DE" term="%22Wavelet+transforms%22">Wavelet transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing%22">Digital image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Skin%22">Skin</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Human skin regions have recently drawn attention in the literature of data hiding due to its promising robustness characteristics. In this paper, we propose a blind adaptive data hiding algorithm for video files where human skin regions are regarded as the Regions Of Interest (ROI) hosting the embedding process. A skin map is created for each frame using an adaptive skin detection algorithm with reduced number of false positives. Then the skin map is converted to a skin-block-map in order to eliminate the error-prone skin pixels that can result in inefficient retrieval of the hidden data. Moreover, the embedding process is done using a wavelet quantization technique over the red and blue channels of the host frames for increased robustness. Experimental results showed the high imperceptibility of the proposed method as well as its robustness against MPEG-4 compression. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-015-3170-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 3065 Subjects: – SubjectFull: Cryptography Type: general – SubjectFull: Adaptive codes Type: general – SubjectFull: Wavelet transforms Type: general – SubjectFull: Digital image processing Type: general – SubjectFull: Skin Type: general Titles: – TitleFull: Robust video steganography algorithm using adaptive skin-tone detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sadek, Mennatallah – PersonEntity: Name: NameFull: Khalifa, Amal – PersonEntity: Name: NameFull: Mostafa, Mostafa IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 76 – Type: issue Value: 2 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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