no code implementations • 20 Mar 2018 • Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
In order to address the quality assessment problem, we propose a deep neural network based framework to automatically assess the slide quality in a semantic way.
no code implementations • 26 Apr 2016 • Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian Lovell
Can we predict the winner of Miss Universe after watching how they stride down the catwalk during the evening gown competition?
no code implementations • 4 Feb 2016 • Johanna Carvajal, Chris McCool, Brian Lovell, Conrad Sanderson
The final classification decision for each frame is then obtained by integrating the class probabilities at the frame level, which exploits the overlapping of the temporal windows.
no code implementations • 4 Feb 2016 • Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian Lovell, Conrad Sanderson
We evaluate these action recognition techniques under ideal conditions, as well as their sensitivity in more challenging conditions (variations in scale and translation).
no code implementations • 6 Feb 2015 • Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell
In this paper we propose a novel approach to multi-action recognition that performs joint segmentation and classification.
no code implementations • 3 Mar 2014 • Johanna Carvajal, Chris McCool, Conrad Sanderson
We present a novel approach to video summarisation that makes use of a Bag-of-visual-Textures (BoT) approach.