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[1H4-OS-12b-01] Television Advertisement Analysis Using Attention-based Multimodal Network
Keywords:deep neural network, television advertising, video analysis
It is related to multimodal features including frames, sounds, as well as metadata. In this paper, we propose a
system that can utilize different models to embed different features, and apply attention mechanism to efficiently
combine those features to help predict the impressions/emotions of audience after they watch an advertisement.
Our prediction can achieve the state-of-the-art performance in real-world dataset. This system can also detailed
analyze the importance of advertisement components.
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