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.
Metadata
Item Type:
Article (Published)
Refereed:
Yes
Additional Information:
Article number: 107671
Uncontrolled Keywords:
Video memorability; Machine learning; Human memory; MediaEval Benchmark
AI4Media, A European Excellence Centre for Media, Society and Democracy, H2020 ICT-48-2020, grant #951911, Science Foundation Ireland SFI/12/RC/2289_P2, Turkish Ministry of National Education, National Institute of Standards and Technology (NIST) No. 60NANB19D155
ID Code:
26516
Deposited On:
09 Dec 2021 12:48 by
Alan Smeaton
. Last Modified 10 Dec 2021 13:54