Call for Paper - November 2022 Edition
IJCA solicits original research papers for the November 2022 Edition. Last date of manuscript submission is October 20, 2022. Read More

Video Steganography using Convolutional Neural Network and Temporal Residual Method

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Fariha Aiman, G. R. Manjula

Fariha Aiman and G R Manjula. Video Steganography using Convolutional Neural Network and Temporal Residual Method. International Journal of Computer Applications 178(46):24-29, September 2019. BibTeX

	author = {Fariha Aiman and G. R. Manjula},
	title = {Video Steganography using Convolutional Neural Network and Temporal Residual Method},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2019},
	volume = {178},
	number = {46},
	month = {Sep},
	year = {2019},
	issn = {0975-8887},
	pages = {24-29},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2019919375},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Steganography involves data hiding in computer files. Steganographic coding, include a file including the document, image, program as well as guidelines, can be included in electronic communication in a transport layer. Because of their large size media files are suitable for the steganography transmission. This paper focuses on video steganography. Video steganography is nothing but hiding the complete secret video within the cover video. Firstly the residual of the secret video and cover video is obtained because hiding the residual video is much easier when compared to hiding original video. This model uses the deep convolutional neural network method. The model compares the particular model with other method. And all results show that this method is efficient.


  1. Xinyu Weng1,2, Yongzhi Li1,2, Lu Chi1, Yadong Mu1,2Convolutional Video Steganography with Temporal Residual Modeling 1Institute of Computer Science & Technology 2Big Data Scientific Research Center Peking University, China.
  2. International Conference on Computer, Communications and Electronics (Comptelix) Manipal University Jaipur, Malaviya National Institute of Technology Jaipur & IRISWORLD, July 01-02, 2017.
  3. Multi-layers Video Steganography: A Novel Technique for Image Hiding “Information and Computer Science Dept., King Fahd University of Petroleum & Minerals, Saudi Arabia; 2,3Computer Engineering Dept., King Fahd University of Petroleum & Minerals, Saudi Arabia”.
  4. International Journal of Computer Applications (0975 – 8887) Volume 95– No.20, June 2014 “Secure Data Hiding Technique Using Video Steganography and Watermarking”.
  5. International Journal of Computer Applications (0975 – 8887) Volume 77 – No.17, September 2013 “A Novel Data Embedding Technique for Hiding Text in Video File using Steganography”.
  6. International Journal of Pure and Applied Mathematics Volume 118 No. 20 2018, 2851-2860 “Secure Data Transmission Based On Combined Effect Of Cryptography And Steganography Using Visible Light Spectrum”.
  7. Khan, Z., et al., Threshold based Steganography: A Novel Technique for Improved Payload and SNR. International Arab Journal of Information Technology [Online]. 2016, 13(4).
  8. Sudeepa, KB., et al., A New Approach for Video Steganography Based on Randomization and Parallelization., Procedia Computer Science, 2016. 78: p. 483-490.
  9. Hasso, Abdul-Rhman S., Steganography in Video Files. International Journal of Computer Science Issues (IJCSI), 2016, 13(1): p. 32-35.
  10. Mstafa, R. J., et al., A video steganography algorithm based on Kanade-Lucas-Tomasi tracking algorithm and error correcting codes. Multimedia Tools and Applications. 2015. p. 1-23.
  11. Balaji, R. and G. Naveen. Secure data transmission using video Steganography. Electro/Information Technology (EIT), on IEEE International Conference, 2011. p. 1-5.
  12. Khan, M., et al., Dual-level security based cyclic18 steganographic method and its application for secure transmission of keyframes during wireless capsule endoscopy ,Journal of medical systems, 2016. 40(5): p. 116.G.C.KesslerandC.Hosmer. An overview of steganography. Advances in Computers, 83:51–107, 2011.
  13. Comparison of Video Steganography Methods for Watermark Embedding David Griberman1, Pavel Rusakov Department of Applied Computer Science, Riga Technical University, Latvia 2016/19.


Video steganography, Data hiding, deep neural network, residual modeling