ActiQ was developed for MIDS Capstone Project by Pri Nonis, Connor Stern, and Vincio De Sola. ActiQ makes any video stream queryable to pin point complex events within a specific video. Users can use natural language to query the index :
- “toddler walking at the beach during sunset in hawaii”
- “girl swimming in a pool near the ocean”
- “man falling down steps at a music concert”
ActiQ provides a responsive web application to import your videos and then make and receive highly accurate and lightning fast results. The returned videos start precisely when the activity was detected.