Search Results for author: Johanna Carvajal

Found 6 papers, 0 papers with code

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks

no code implementations20 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.

Towards Miss Universe Automatic Prediction: The Evening Gown Competition

no code implementations26 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?

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors

no code implementations4 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.

Action Recognition General Classification +1

Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients

no code implementations6 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.

Action Recognition Classification +4

Summarisation of Short-Term and Long-Term Videos using Texture and Colour

no code implementations3 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.

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