Introduction

Multimedia combines one or different content forms such as text, audio, images, animations, or video into a single interactive presentation. Multimedia data is characterized by a large amount of information, strong correlation, and high redundancy, resulting in the limitations of high computational complexity and high power consumption in security solutions. Our team aims to deepen the academic research on multimedia information security and improve the reliable security guarantee of its production, transmission, distribution, and application.

News

🎉 Jul. 2021: one paper accepted by ACM MM (CCF A)! Congrats to Ying!

Grants

Visual Security Analysis

• PRNet: A Progressive Recovery Network for Revealing Perceptually Encrypted Images

  Tao Xiang, Ying Yang, Shangwei Guo, Hangcheng Liu, Hantao Liu

  ACM International Conference on Multimedia (ACM MM), 2021 CCF Rank A

• PEID: A Perceptually Encrypted Image Database for Visual Security Evaluation

  Shangwei Guo, Tao Xiang, Xiaoguo Li, Ying Yang

  IEEE Transactions on Information Forensics and Security, 2019 CCF Rank A

• Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance

  Tao Xiang, Ying Yang, Hangcheng Liu, Shangwei Guo

  IEEE Transactions on Circuits and Systems for Video Technology, 2019 CCF Rank B

• Blind Night-Time Image Quality Assessment: Subjective and Objective Approaches

  Tao Xiang, Ying Yang, Shangwei Guo

  IEEE Transactions on Multimedia, 2019 CCF Rank B

• Perceptual visual security index based on edge and texture similarities

  Tao Xiang, Shangwei Guo, Xiaoguo Li

  IEEE Transactions on Information Forensics and Security, 2016 CCF Rank A