A Conceptual Architecture for Deep-learning-based Video-Objects Retrieving System

Finding content in videos or video-objects retrieving systems has been a matter of concern for many years until now. Regularly, to retrieve and explore content in videos, the traditional solution is that we oblige to use the human eyes and examine those videos manually until we obtain the content that appears in the video. To speed up the search, we can fast-forward the video or predict when the c...