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The Pixogram: Addressing High Payload Demands for Video Steganography

  • Published:2019 Issue: Volume:7 Page:21948-21962
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Rabie TamerORCID,Baziyad Mohammed

Funder

College of Graduate Studies and Research, University of Sharjah

Research Institute of Sciences and Engineering, University of Sharjah

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Chronological Gazelle Optimization with Deep Learning-Based pixel prediction for video steganography in H.264 video for defence applications;Journal of Visual Communication and Image Representation;2024-02

2. Pelican Whale Optimization Enabled Deep Learning Framework for Video Steganography Using Arnold Transform-Based Embedding;International Journal of Pattern Recognition and Artificial Intelligence;2023-12-28

3. Cloud Storage Confidentiality Using Knight Swarm Algorithm;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

4. Novel multi-media steganography model using meta-heuristic and deep learning assisted adaptive lifting wavelet transform;Journal of Statistical Computation and Simulation;2023-06-11

5. Steganalysis of DWT Based Steganography Technique for SD and HD Videos;Wireless Personal Communications;2022-10-03
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