A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
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 benchmarkingdoi:10.1109/icassp.2018.8462292 dblp:conf/icassp/Squalli-Houssaini18 fatcat:4ufs2exernc5rdra6srko3dfgu