Show and Recall: Learning What Makes Videos Memorable

Sumit Shekhar, Dhruv Singal, Harvineet Singh, Manav Kedia, Akhil Shetty
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
This paper describes the approach developed to predict the shortterm and long-term video memorability at the 2018 MediaEval Predicting Media Memorability Task [1] . This approach utilizes the scene semantics derived from the titles of the videos using natural language processing (NLP) techniques and a recurrent neural network (RNN). Compared to using video-based features, this approach has a low computational cost for feature extraction. The performance of the semantic-based methods are
more » ... with those of the aesthetic feature-based methods using support vector regression (ϵ-SVR) and artificial neural network (ANN) models, and the possibility of predicting the highly subjective media memorability with simple features is explored.
doi:10.1109/iccvw.2017.321 dblp:conf/iccvw/ShekharSSKS17 fatcat:5lodigjkpjaw7djfyakajtl7mq