Decision-Level Fusion Method Based on Deep Learning

摘要

We present a highly accurate and very efficient approach for personality traits prediction based on video. Unlike the traditional method, we proposed a decision-level information fusion method based on deep learning. We have separated the video modal into two parts, visual modal and audio model. The two models were processed by improved VGG-16 and LSTM network, respectively, and combined with an Extreme Learning Machine (ELM) to architecture decision-level information fusion. Experiments on challenging Youtube-8M dataset show that our proposed approach significantly outperforms traditional decision-level fusion method in terms of both efficiency and accuracy.