Evolving automatic frame splitters

Abstract

This paper extends the application of Genetic Programming into a new area, automatically splitting video frames based on the content. Compared with human written video splitting programs, GP generated splitters are more accurate. Moreover these video splitting programs have high tolerance to noises. They can still achieve reasonable performance even when the noisy videos are not easily recognizable by human eyes.