Animated emoji is a kind of GIF image, which is widely used in online social networks (OSN) for its efficiency in transmitting vivid and personalized information. Aiming at realizing covert communication in animated emoji, this paper proposes an improved steganography framework in animated emoji. We propose a self-reference algorithm to improve the steganography security. Meanwhile, the relations between adjacent frames of the cover GIF image are considered to further improve the distortion function. After that we embed the secret message into the GIF image using the popular framework of Syndrome Trellis Coding (STC). Experimental results show that the proposed method can provide better security performances than state-of-the-art works.

动画表情符号是一种GIF图像，由于其有效地传递生动和个性化的信息而被广泛用于在线社交网络（OSN）。为了实现动画表情符号中的隐蔽通信，本文提出了一种改进的动画表情符号隐写框架。我们提出了一种自引用算法，以提高隐写技术的安全性。同时，考虑封面GIF图像的相邻帧之间的关系以进一步改善失真功能。此后，我们使用流行的综合症网格编码（STC）框架将秘密消息嵌入GIF图像中。实验结果表明，与最新技术相比，该方法可以提供更好的安全性能。