智能感知与计算研究中心知识库

Due to the immediacy and the easy way to understand the
image content, the applications of digital image have brought great
opportunity to the development of social networks. However, there exist
some serious problems. Some visual content has been maliciously tam-
pered to achieve illegal purpose, while some modifications are benign,
just for fun, for enhancing artistic value, or effectiveness of news dissem-
ination. So beyond the tampering detection, how to evaluate the influ-
ence of image tampering is on schedule. In this paper, with the help of
forensic tools, we study the problem of automatically assessing the influ-
ence of image tampering by examining whether the modification affects
the dominant visual content, and utilize saliency mechanism to assess
how harmful the tampering is. The experimental results demonstrate
the effectiveness of our method.