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An End-to-End Robust Video Steganography Model Based on a Multi-Scale Neural Network

An End-to-End Robust Video Steganography Model Based on a Multi-Scale Neural Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2756681314

An End-to-End Robust Video Steganography Model Based on a Multi-Scale Neural Network

About this item

Full title

An End-to-End Robust Video Steganography Model Based on a Multi-Scale Neural Network

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2022-12, Vol.11 (24), p.4102

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The purpose of video steganography is to hide messages in the video file and prevent them from being detected, and finally the secret message can be extracted completely at the receiver. In this paper, an end-to-end video steganography based on GAN and multi-scale deep learning network is proposed, which consists of the encoder, decoder and discrim...

Alternative Titles

Full title

An End-to-End Robust Video Steganography Model Based on a Multi-Scale Neural Network

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2756681314

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2756681314

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics11244102

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