Optimized interesting region identification for video steganography using multi-objective cost function-Reference-Cited by-同舟云学术

Optimized interesting region identification for video steganography using multi-objective cost function

Published:2023-03-02 Issue:20 Volume:82 Page:31373-31396
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Suresh Meenu^ORCID,Sam I. Shatheesh

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14821-3.pdf

Reference48 articles.

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2. Abdulla AA, Sellahewa H, Jassim SA (2014) Stego quality enhancement by message size reduction and fibonacci bit-plane mapping. In: Chen L, Mitchell C (eds) Security Standardisation Research. SSR 2014. Lecture notes in computer science, vol 8893. Springer, Cham. https://doi.org/10.1007/978-3-319-14054-4_10

3. AlZain MA, Al-Amri JF (2018) Application of data steganographic method in video sequences using histogram shifting in the discrete wavelet transform. Int J Appl Eng Res 13(8):6380–6387

4. Balu S, Babu CNK, Amudha K (2019) Secure and efficient data transmission by video steganography in medical imaging system. Clust Comput 22:4057–4063. https://doi.org/10.1007/s10586-018-2639-4

5. Bhaladhare PR, Jinwala DC (2018) A clustering approach using fractional calculus-bacterial foraging optimization algorithm for k-anonymization in privacy preserving data mining. Censorship, Surveillance, and Privacy: Concepts, Methodologies, Tools, and Applications 2:587–608. https://doi.org/10.4018/978-1-5225-7113-1.ch031

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