Computer Vision and Deep Learning for Moderating Visual Content

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since visual content (e.g. images, videos) is one of the most important types of data shared by social networking apps, an important problem for the company is to identify images/videos that are offensive or inappropriate. For example, certain images/videos might contain violence, nudity, or certain objects (knife, gun, bikini, etc.) that are considered offensive. It is obviously unrealistic to have human annotators to manually sift through all images/videos online and flag those offensive contents. The goal of the proposed research program is to develop a series of computer vision and machine learning (especially deep learning) technologies that the partner company can utilize to build the state-of-the-art moderation tools for social network apps.

Faculty Supervisor:

Yang Wang

Student:

Mehrdad Hosseinzadeh

Partner:

Two Hat Security Research Corp.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Manitoba