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.
CITATION STYLE
Wang, K., Liu, M., Hao, X. S., & Xing, X. (2017). Decision-Level Fusion Method Based on Deep Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10568 LNCS, pp. 673–682). Springer Verlag. https://doi.org/10.1007/978-3-319-69923-3_72
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