Text Steganography Based on Image Caption

doi:10.13190/j.jbupt.2018-032

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2018, Vol. 41 ›› Issue (6): 7-13.doi: 10.13190/j.jbupt.2018-032

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Text Steganography Based on Image Caption

XUE Yi-ming¹, ZHOU Xue-jing¹, ZHOU Xiao-shi¹, NIU Shao-zhang², WEN Juan¹

1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China;
2. School of Computer Science, Beijing University of Posts and Telecommunication, Beijing 100876, China

Received:2018-02-02 Online:2018-12-28 Published:2018-12-24

Abstract

Abstract: Aiming at the problem of low embedding capacity and poor semantic coherence of text steganography, a text steganographic scheme based on neural image caption is proposed. An encode-decode structure with a combination of long short term memory and convolution neural network is used to model the joint probability distributions between image features and the descriptive sentences. Two methods with different sampling process are designed from the perspectives of sharing and non-sharing models. Experimental results show that the proposed model can achieve high embedding capacity and desirable text quality. This scheme belongs to "carrier-free" steganography and has good security.

Key words: text steganography, image caption, convolutional neural network, long short term memory

CLC Number:

TP309.2

XUE Yi-ming, ZHOU Xue-jing, ZHOU Xiao-shi, NIU Shao-zhang, WEN Juan. Text Steganography Based on Image Caption[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(6): 7-13.

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Text Steganography Based on Image Caption

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