Evolving automatic frame splitters

Authors:
Andy Song;Feng Xie
Affiliations:
RMIT University, Melbourne, Australia;RMIT University, Melbourne, Australia
Venue:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Year:
2011

Citing 2
Cited 1

A domain-independentwindow approach to multiclass object detection using genetic programming

EURASIP Journal on Applied Signal Processing
Automated design of image operators that detect interest points

Evolutionary Computation

Evolving event detectors in multi-channel sensor data

AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

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.