After discussing the ability to video search for Speech, Text, Motion, Face and Emotions, the next big element class is “Objects”.
Essentially, it is an analysis tool that extracts metadata from a video and defines important objects or entities inside a video. Object detection has come to a point where it can detect objects or entities (like cat, flower, computer, etc.) and pinpoint the exact location there is the scene(s) appear inside the video.
The purpose of Object Detection is to help us better understand the overall content of our videos based on objects detected within the video. It also gives uas a time-based understanding on when each object appears within the video. Object Detection basically uses tagging and domain-specific models to identify content and label it with confidence.
Like other vision type of video searches, Computer Vision scientists developed Object Recognition based on the deep learning technology developed using deep neural network models to detect and label thousands of objects and scenes in videos.
With Object Detection, it is now possible to search every moment of every video file in your video library and catalog to find every objects as well as its importance.