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Motion Vector Domain Video Steganography Maintaining the Statistical Characteristics of Skipped Macroblocks

Published: 09 January 2024 Publication History

Abstract

Motion vector (MV) based video steganography methods achieve covert communication by embedding secret messages in MVs. The most crucial evaluation metric of steganography is the security against steganalysis. However, recently proposed H.264/AVC steganalysis methods based on Skipped macroblocks can effectively capture the statistical differences of the stego video before and after recompression calibration, thus posing challenges to steganography algorithms. In this paper, we propose a distortion function derivation scheme that can maintain the statistical characteristics of the Skipped macroblock of stego videos. Firstly, the designed distortion function upgrades the existing basic distortion function. Secondly, the designed distortion derivation scheme is mainly used to keep the two statistical properties, the motion vector prediction (MVP) and the partition status, unchanged for the Skipped macroblock before and after message embedding. Finally, the derivation method is applied to two typical basic distortion functions for experimental validation. The experimental results show that the proposed derived distortion function can increase the ability to resist the attack of Skipped-based steganalysis.

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  • (2024)Argus: Real-Time HQ Video Decoding with CPU Coordinating on Consumer Devices2024 IEEE Real-Time Systems Symposium (RTSS)10.1109/RTSS62706.2024.00014(43-56)Online publication date: 10-Dec-2024

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  1. Motion Vector Domain Video Steganography Maintaining the Statistical Characteristics of Skipped Macroblocks

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    cover image ACM Other conferences
    AAIA '23: Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications
    November 2023
    406 pages
    ISBN:9798400708268
    DOI:10.1145/3603273
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 09 January 2024

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    Author Tags

    1. Distortion Function
    2. Motion Vector Prediction (MVP)
    3. Skipped Macroblocks
    4. Video Steganalysis
    5. Video Steganography

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    • National Natural Science Foundation of China

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    • (2024)Argus: Real-Time HQ Video Decoding with CPU Coordinating on Consumer Devices2024 IEEE Real-Time Systems Symposium (RTSS)10.1109/RTSS62706.2024.00014(43-56)Online publication date: 10-Dec-2024

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