走向环球小姐自动预测：晚礼服比赛
Towards Miss Universe Automatic Prediction: The Evening Gown Competition
摘要：
在观看了她们在晚礼服比赛中的走秀后，我们能预测环球小姐的冠军吗？时尚大师说他们可以！在我们的工作中，我们从计算机视觉的角度来研究这个问题。特别是，我们想了解现有的计算机视觉方法是否可以用于自动提取环球小姐获奖者在走秀时所表现出的品质。这项研究可以为时尚行业新的基于视觉的应用铺平道路。为此，我们提出了一个新的视频数据集，称为环球小姐数据集，包括1996-2010年之间选择的10年的晚礼服比赛。我们进一步提出了两个排名相关的问题：（1）环球小姐列表排名和（2）环球小姐配对排名。此外，我们还开发了一种方法，同时解决这两个提出的问题。为了描述视频，我们采用最近提出的堆叠Fisher向量结合强大的本地时空特征。从我们的评估中，我们发现，虽然解决的问题是非常具有挑战性的，所提出的系统是能够排名前3名的最佳预测得分为5出10环球小姐比赛的赢家。
英文摘要：
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 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 can 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. We further propose two ranking-related problems: (1) Miss Universe Listwise Ranking and (2) Miss Universe Pairwise Ranking. In addition, we also develop an approach that simultaneously addresses the two proposed problems. To describe the videos we employ the recently proposed Stacked Fisher Vectors in conjunction with robust local spatio-temporal features. 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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
