Computer Science

Computer Science ›› 2026, Vol. 53 ›› Issue (5): 446-452.doi: 10.11896/jsjkx.251100040

• Information Security • Previous Articles    

HEVC Information Hiding Algorithm Based on PU Partition Modes and Motion Vectors

YIN Hemin1, ZHANG Yingnan1,2,3, LI Jun1,2, ZHANG Yanzhe1   

  1. 1 College of Cryptography Engineering, Engineering University of PAP, Xi’an 710086, China
    2 Key Laboratory of Network and Information Security of PAP, Xi’an 710086, China
    3 Key Laboratory of CTC&IE, Engineering University of PAP, Xi’an 710086, China
  • Received:2025-11-10 Revised:2025-12-13 Published:2026-05-08
  • About author:YIN Hemin,born in 1998,postgra-duate.His main research interests include video steganography technology,and so on.
    ZHANG Yingnan,born in 1990,Ph.D,associate professor.His main research interests include digital watermarking,information hiding,steganalysis,and signal processing.
  • Supported by:
    National Natural Science Foundation of China(62202496).

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Abstract: With the increasing number of video users on Internet platforms,the high efficiency video coding(HEVC) standard is widely applied,steganography and steganalysis techniques based on the HEVC standard continue to develop.To enhance embedding security,this paper proposes an algorithm that utilizes prediction unit(PU) partition modes and motion vectors(MV) as carriers,dispersing embedding perturbation features while expanding the available embedding space.The PU partition mode domain defines binary mapping rules according to the quantitative structure inherent in the PU partition modes themselves,while the distortion function takes into account cumulative inter-frame errors,allowing the stego video to maintain the intrinsic distribution pattern of PU partition modes.In the motion vector domain,motion vector differences(MVD) that retain local optimality after preselected serve as carriers,with the distortion function considering both video quality and coding cost.Both domains employ syndrome trellis codes(STC) to adaptively find paths that minimise embedding disturbances.Experimental results demonstrate that the proposed algorithm maintains high video quality,exhibits strong resistance to steganalysis,and achieves an ideal embedding capacity.

Key words: Information hiding, High efficiency video coding(HEVC), PU partition mode, Motion vector, Syndrome trellis code(STC)

CLC Number: 

  • TP391
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