Deep Learning Approach to New Age Cinematic Video Editing

Abstract

This paper gives a new technique for video editing by introducing modules that are trained to create realistic and dramatic sky backgrounds in videos. This project is different from what is being used in the video editing ecosystem as it does not require any static photos or inertial measurements. The module can be simply used on any device without having any prerequisites in the device. This is a game- changer when it comes to capturing cinematic sky videos. This project is further branched into three different modules to segregate the different tasks including sky routing, flow reckoner, and image emulsifier. These methods will run in real- time and are user friendly. This project can generate high fidelity videos with different lighting and dramatics in outdoor environments. Adding further we can also easily synthesize different weather conditions. This editing technique is much simpler and easier giving a more aesthetic image for cinematic shots.