The volume of videos is skyrocketing due to recent technological advances in the recording. To use videos effectively and make them searchable, there is a growing demand for intelligent softwares to automatically understand the video contents. Although it is trivial for human, empowering computers to recognize video semantic concepts is very challenging. Sensifai developed a cutting-edge audio-visual deep-learning technology trained on millions of videos to recognize audio and video content and tag them accurately.
