10 citations · 27 across the 6 of their papers we have counts for
6 papers · 1 filter
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks
Teng Zhang, Johanna Carvajal, Daniel F. Smith +5
This work tackles the automatic fine-grained slide quality assessment problem for digitized direct smears test using the Gram staining protocol. Automatic quality assessment can pr…
Towards Miss Universe Automatic Prediction: The Evening Gown Competition
Johanna Carvajal, Arnold Wiliem, Conrad Sanderson +1
Can we predict the winner of Miss Universe after watching how they stride down the catwalk during the evening gown competition? Fashion gurus say they can! In our work, we study th…
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
Johanna Carvajal, Chris McCool, Brian Lovell +1
We propose a hierarchical approach to multi-action recognition that performs joint classification and segmentation. A given video (containing several consecutive actions) is proces…
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
Johanna Carvajal, Arnold Wiliem, Chris McCool +2
We present a comparative evaluation of various techniques for action recognition while keeping as many variables as possible controlled. We employ two categories of Riemannian mani…
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients
Johanna Carvajal, Conrad Sanderson, Chris McCool +1
In this paper we propose a novel approach to multi-action recognition that performs joint segmentation and classification. This approach models each action using a Gaussian mixture…
Summarisation of Short-Term and Long-Term Videos using Texture and Colour
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. Two systems are proposed, one based solely on the BoT approach and ano…