Using Saliency and Cropping to Improve Video Memorability

Author:

Mudgal Vaibhav,Wang Qingyang,Sweeney Lorin,Smeaton Alan F.ORCID

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet, April 2015. arXiv:1411.1045

2. Anonymised. Predicting media memorability: comparing visual, textual and auditory features. In: Proceedings of the MediaEval 2021 Workshop, December 2021

3. Anonymised. Analysing the memorability of a procedural crime-drama TV series, CSI. In: Proceedings of the 19th International Conference on Content-Based Multimedia Indexing, CBMI 2022, pp. 174–180, New York, NY, USA. Association for Computing Machinery (2022)

4. Azcona, D., Moreu, E., Hu, F., Ward, T., Smeaton, A.F.: Predicting media memorability using ensemble models. In: Proceedings of MediaEval 2019, Sophia Antipolis, France. CEUR Workshop Proceedings, October 2019

5. Bainbridge, W.A., Dilks, D.D., Oliva, A.: Memorability: a stimulus-driven perceptual neural signature distinctive from memory. NeuroImage 149, 141–152 (2017)

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