Secure Data Hiding in HEVC Video Compression with Commutative Encryption | Matlab Project
Explore how to implement commutative encryption and data hiding techniques in HEVC video compression using Matlab. Perfect for image processing enthusiasts—contact us online to purchase this comprehensive project! 🔗

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742 views • Mar 11, 2020

About this video
Commutative Encryption and Data Hiding in HEVC Video Compression | Matlab Image Processing Project.
To buy this project in ONLINE, Contact:
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
🚀IEEE Base Paper Title: Commutative Encryption and Data Hiding in HEVC Video Compression.
💡Implementation Code: MATLAB.
🛠️Tool details: MATLABR2013A.
💰Cost (In Indian Rupees): Rs.3000/
📘IEEE Base paper Abstract:
In this paper, an efficient commutative encryption and data hiding scheme for HEVC videos is proposed. The commutative property allows ciphering a steganographic video without interfering with the embedded signal or to perform steganography on an encrypted video while still allowing perfect decryption. The syntax elements in the HEVC standard, including the sign of quantized transform coefficient (QTC), the sign of motion vector difference (MVD), and the intra-prediction mode (IPM) are encrypted, which distorts video content greatly and thus keeps perception security. Data embedding employs a specific QTC modification method, which makes the visual distortion caused by data hiding very low. Furthermore, the proposed framework will produce an HEVC format compliant bitstream and permits the hidden information to be extracted either in the encrypted domain or in the decrypted domain. Several benchmark video sequences of different resolutions and diverse contents are used for experimental evaluation.
📚REFERENCE:
DAWEN XU, “Commutative Encryption and Data Hiding in HEVC Video Compression”, IEEE Access, 2019.
🏷️tags:
#matlabprojects #imageprocessing #ieeeprojects #finalyearprojects #matlabprojectswithsourcecode #computerscienceproject #matlab #matlabproject #finalyearprojectideas #academicprojects #majorproject #finalyearproject #ieeeproject #academicproject
To buy this project in ONLINE, Contact:
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
🚀IEEE Base Paper Title: Commutative Encryption and Data Hiding in HEVC Video Compression.
💡Implementation Code: MATLAB.
🛠️Tool details: MATLABR2013A.
💰Cost (In Indian Rupees): Rs.3000/
📘IEEE Base paper Abstract:
In this paper, an efficient commutative encryption and data hiding scheme for HEVC videos is proposed. The commutative property allows ciphering a steganographic video without interfering with the embedded signal or to perform steganography on an encrypted video while still allowing perfect decryption. The syntax elements in the HEVC standard, including the sign of quantized transform coefficient (QTC), the sign of motion vector difference (MVD), and the intra-prediction mode (IPM) are encrypted, which distorts video content greatly and thus keeps perception security. Data embedding employs a specific QTC modification method, which makes the visual distortion caused by data hiding very low. Furthermore, the proposed framework will produce an HEVC format compliant bitstream and permits the hidden information to be extracted either in the encrypted domain or in the decrypted domain. Several benchmark video sequences of different resolutions and diverse contents are used for experimental evaluation.
📚REFERENCE:
DAWEN XU, “Commutative Encryption and Data Hiding in HEVC Video Compression”, IEEE Access, 2019.
🏷️tags:
#matlabprojects #imageprocessing #ieeeprojects #finalyearprojects #matlabprojectswithsourcecode #computerscienceproject #matlab #matlabproject #finalyearprojectideas #academicprojects #majorproject #finalyearproject #ieeeproject #academicproject
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742
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9
Duration
8:35
Published
Mar 11, 2020
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