Vineet Gandhi, Rémi Ronfard, Michael Gleicher
CVMP – European Conference on Visual Media Production, 2014
Our method takes as input a high resolution video from a single viewpoint and outputs a set of synchronized subclips by breaking the groups into a series of smaller shots.
Abstract
We propose a framework for automatically generating multiple clips suitable for video editing by simulating pan-tilt-zoom camera movements within the frame of a single static camera. Assuming important actors and objects can be localized using computer vision techniques, our method requires only minimal user input to define the subject matter of each sub-clip. The composition of each sub-clip is automatically computed in a novel L1-norm optimization framework. Our approach encodes several common cinematographic practices into a single convex cost function minimization problem, resulting in aesthetically pleasing sub-clips which can easily be edited together using off-the-shelf multi-clip video editing software. We demonstrate our approach on five video sequences of a live theatre performance by generating multiple synchronized subclips for each sequence.
