Bi-modal First Impressions Recognition using Temporally Ordered Deep Audio and Stochastic Visual Features

Autor:	Subramaniam, Arulkumar, Patel, Vismay, Mishra, Ashish, Balasubramanian, Prashanth, Mittal, Anurag
Rok vydání:	2016
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	We propose a novel approach for First Impressions Recognition in terms of the Big Five personality-traits from short videos. The Big Five personality traits is a model to describe human personality using five broad categories: Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness. We train two bi-modal end-to-end deep neural network architectures using temporally ordered audio and novel stochastic visual features from few frames, without over-fitting. We empirically show that the trained models perform exceptionally well, even after training from a small sub-portions of inputs. Our method is evaluated in ChaLearn LAP 2016 Apparent Personality Analysis (APA) competition using ChaLearn LAP APA2016 dataset and achieved excellent performance. Comment: to be published in: ECCV 2016 Workshops proceedings (Apparent Personality Analysis)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1610.10048 Zobrazit plný text záznamu View this record from Arxiv