Video Steganography Using 3D Convolutional Neural Networks-Reference-Cited by-同舟云学术

Video Steganography Using 3D Convolutional Neural Networks

Published:2019-12-18 Issue: Volume: Page:149-161
ISSN:1865-0929
Container-title:Pattern Recognition and Artificial Intelligence
language:
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Author:

Abdolmohammadi Mahdi,Toroghi Rahil Mahdian,Bastanfard Azam

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37548-5_12

Reference9 articles.

1. Baluja, S.: Hiding images in plain sight: deep steganography. In: Advances in Neural Information Processing Systems, pp. 2069–2079 (2017)

2. Deshmukh, P., Rahangdale, B.: Hash based least significant bit technique for video steganography. Int. J. Eng. Res. Appl. 4(1), 44–49 (2014)

3. Goyal, H., Bansal, P.: Video steganography using neural network and genetic algorithm. Int. J. Emerg. Technol. Innov. Eng. 1(9) (2015)

4. Liu, Y., Liu, S., Wang, Y., Zhao, H., Liu, S.: Video steganography: a review. Neurocomputing 335, 238–250 (2019)

5. Pathak, N., Disa, R., Saroni, S., Kumar Dash, U., Jyoti, A.: A survey on video steganography using genetic algorithm and artificial neural network, pp. 56–58, June 2016 (2016)

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