Affective classification model based on emotional user experience and visual markers in YouTube video
Roshaliza Mohd Rosli, Syaripah Ruzaini Syed Aris, Azhar Aziz, Toshio Tsuchiya, Anitawati Mohd Lokman · International Journal of Advanced Technology and Engineering Exploration · 2021
On the other hand, video classification has been viewed as a critical means of ensuring the efficient retrieval of videos [6][7][8][9].Previous research has indicated that affective computing-based video retrieval is the future direction and presents eminently compelling research issues [7,10,11].Additionally, due to the computer revolution, emerging issues such as an extremist group infiltrating social media to spread propaganda and execute various illicit activities have been widespread more than they were.Extremist groups are becoming tech-savvy and have their own media outlets to achieve their goals [12,13].They want to provoke the interest of potential new members, supporters and sympathizers, particularly young adults [14][15][16][17].One way is through video Re search