Fashion gurus say they can! In our work, we study this question from the perspective of computer vision. In particular, we want to understand whether existing computer vision approaches can be used to automatically extract the qualities exhibited by the Miss Universe winners during their catwalk. This study could pave the way towards new vision based applications for the fashion industry. To this end, we propose a novel video dataset, called the Miss Universe dataset, comprising 10 years of the evening gown competition selected between 1996-2010. From our evaluation we found that although the addressed problems are extremely challenging, the proposed system is able to rank the winner in the top 3 best predicted scores for 5 out of 10 Miss Universe competitions.
We use leave-one-year-out protocol as the evaluation protocol. In particular, for each training-est set, we consider all participants from one year as the testing and the rests as training. As the dataset covers ten years of Miss Universe videos, then there will be ten training-test sets. We use the Normalized Discount Cumulative Gain (NDCG) proposed to measure ranking list and the Kendall’s Kτ which measures the number C of concordant pairs and the number D of discordant pairs. See paper for details.
The Miss Universe Dataset and associated data ('Licensed Material') are made available to the scientific community for non-commercial research purposes such as academic research, teaching, scientific publications or personal experimentation. Permission is granted to you (the 'Licensee') to use, copy and distribute the Licensed Material in accordance with the following terms and conditions:
-Licensee must include a reference to the following publication in any published work that makes use of the Licensed Material:
J. Carvajal, A. Wiliem, C. Sanderson, and B. C. Lovell. "Towards Miss Universe Automatic Prediction: The Evening Gown Competition". International Conference on Pattern Recognition (ICPR). 2016
-If the Licensee alters the content of the Licensed Material or creates any derivative work, Licensee must include in the altered Licensed Material or derivative work prominent notices to ensure that any recipients know that they are not receiving the original Licensed Material
-Licensee may not use or distribute the Licensed Material or any derivative work for commercial purposes including but not limited to, licensing or selling the Licensed Material or using the Licensed Material for commercial gain
-The Licensed Material is provided 'AS IS', without any expressed or implied warranties. The authors do not accept any responsibility for errors or omissions in the Licensed Material
-This original licence notice must be retained in all copies or derivatives of the Licensed Material
-All rights not expressly granted to the Licensee are reserved by the authors
The current version of the Miss Universe Dataset was uploaded on 06-May-2016.
miss_universe_dataset.zip (707.78 MB) [download] [mirror]
This page is also hosted at Johanna's personal webpage.
J. Carvajal, A. Wiliem, C. Sanderson, and B. C. Lovell. "Towards Miss Universe Automatic Prediction: The Evening Gown Competition". International Conference on Pattern Recognition (ICPR). 2016
Further enquiries can be made to:
{jo döt carvajal ät uq döt edu döt au},
{conradsand döt uq ät gmail döt com},
{a döt wiliem ät uq döt edu döt au}, or
{lovell ät itee döt uq döt edu döt au}.