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Deep Learning for Predicting Image Memorability
2018
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Memorability of media content such as images and videos has recently become an important research subject in computer vision. This paper presents our computation model for predicting image memorability, which is based on a deep learning architecture designed for a classification task. We exploit the use of both convolutional neural network (CNN) -based visual features and semantic features related to image captioning for the task. We train and test our model on the large-scale benchmarking
doi:10.1109/icassp.2018.8462292
dblp:conf/icassp/Squalli-Houssaini18
fatcat:4ufs2exernc5rdra6srko3dfgu