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A multi-domain embedding video steganography algorithm using PU partitioning modes and MV prediction index.

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Title: A multi-domain embedding video steganography algorithm using PU partitioning modes and MV prediction index.
Authors: Yin, Hemin1 (AUTHOR), Zhang, Yingnan1,2,3 (AUTHOR) zyn583@163.com, Li, Jun1,2 (AUTHOR), Zhang, Yanzhe1 (AUTHOR), Sang, Yuji1 (AUTHOR)
Source: Multimedia Systems. Aug2026, Vol. 32 Issue 4, p1-15. 15p.
Subjects: Motion estimation (Signal processing), MPEG (Video coding standard), Error-correcting codes, Video coding, Cryptography
Abstract: The increasing number of video creators and enthusiasts on internet platforms has drawn significant attention to video steganography. Traditional single-domain steganographic methods are constrained by the limited availability of embedding carriers, leading to performance bottlenecks. In order to achieve a better balance between security and capacity, we propose a multi-domain video steganography algorithm that operates within the HEVC framework, specifically targeting predictive (P) frames. The method exploits both prediction unit (PU) partitioning modes and the indices of motion vector (MV) for data embedding. By analyzing the relationship between motion vector (MV) characteristics and PU partitioning structures, a rational embedding criterion is proposed. Subsequently, a joint minimization function is formulated to guide the embedding process, which is implemented using Syndrome Trellis codes (STCs). Experiments demonstrate that the proposed algorithm increases embedding capacity while ensuring video quality and security. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Systems 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
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Header DbId: egs
DbLabel: Engineering Source
An: 193529390
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A multi-domain embedding video steganography algorithm using PU partitioning modes and MV prediction index.
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  Data: <searchLink fieldCode="DE" term="%22Motion+estimation+%28Signal+processing%29%22">Motion estimation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22MPEG+%28Video+coding+standard%29%22">MPEG (Video coding standard)</searchLink><br /><searchLink fieldCode="DE" term="%22Error-correcting+codes%22">Error-correcting codes</searchLink><br /><searchLink fieldCode="DE" term="%22Video+coding%22">Video coding</searchLink><br /><searchLink fieldCode="DE" term="%22Cryptography%22">Cryptography</searchLink>
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  Label: Abstract
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  Data: The increasing number of video creators and enthusiasts on internet platforms has drawn significant attention to video steganography. Traditional single-domain steganographic methods are constrained by the limited availability of embedding carriers, leading to performance bottlenecks. In order to achieve a better balance between security and capacity, we propose a multi-domain video steganography algorithm that operates within the HEVC framework, specifically targeting predictive (P) frames. The method exploits both prediction unit (PU) partitioning modes and the indices of motion vector (MV) for data embedding. By analyzing the relationship between motion vector (MV) characteristics and PU partitioning structures, a rational embedding criterion is proposed. Subsequently, a joint minimization function is formulated to guide the embedding process, which is implemented using Syndrome Trellis codes (STCs). Experiments demonstrate that the proposed algorithm increases embedding capacity while ensuring video quality and security. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Multimedia Systems 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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        Value: 10.1007/s00530-026-02367-x
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      – Code: eng
        Text: English
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        PageCount: 15
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      – SubjectFull: Motion estimation (Signal processing)
        Type: general
      – SubjectFull: MPEG (Video coding standard)
        Type: general
      – SubjectFull: Error-correcting codes
        Type: general
      – SubjectFull: Video coding
        Type: general
      – SubjectFull: Cryptography
        Type: general
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      – TitleFull: A multi-domain embedding video steganography algorithm using PU partitioning modes and MV prediction index.
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            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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