Using a collection of publicly available links to short form video clips of an average of 6 seconds duration each, 1,275 users manually annotated each video multiple times to indicate both long-term and short-term memorability of the videos. The annotations were gathered as part of an online memory game and measured a participant's ability to recall having seen the video previously when shown a collection of videos. The recognition tasks were performed on videos seen within the previous few minutes for short-term memorability and within the previous 24 to 72 hours for long-term memorability. Data includes the reaction times for each recognition of each video. Associated with each video are text descriptions (captions) as well as a collection of image-level features applied to 3 frames extracted from each video (start, middle and end). Video-level features are also provided. The dataset was used in the Video Memorability task as part of the MediaEval benchmark in 2020.
@article{arxiv.2112.02303,
title = {An Annotated Video Dataset for Computing Video Memorability},
author = {Rukiye Savran Kiziltepe and Lorin Sweeney and Mihai Gabriel Constantin and Faiyaz Doctor and Alba Garcia Seco de Herrera and Claire-Helene Demarty and Graham Healy and Bogdan Ionescu and Alan F. Smeaton},
journal= {arXiv preprint arXiv:2112.02303},
year = {2021}
}