Deep Learning Model for Motion Video Processing
E Yugesh. · International Journal for Research in Applied Science and Engineering Technology · 2019
In the film industry for motion picture processing, it requires different rate (fps) of motion capture.Utilizing single sequence compromises on quality.Different frames are required to be inputted to video editing tools as per motioning requirements.The goal of the paper is to construct a model to utilise the captured frame sequence and generate slow motioning using clustering and Convolutional Neural Networks.