Currently users find their desired song on a multimedia sharing website such as YouTube using text based queries. The search phrase usually contains some text information about the song such as the name of the song, the singer, or parts of the lyrics. However, this information can be easily manipulated by malicious file up-loaders, who […]

A safe video platform can provide a healthy and suitable environment for users in general and children in particular. This project aims to utilize machine learning and deep learning techniques to identify and flag sensitive and questionable content (e.g., content related to violence, sexuality, etc.). The algorithm will leverage video frames extracted from the database […]