An annotated video dataset for computing video memorability

Data Brief. 2021 Dec 4:39:107671. doi: 10.1016/j.dib.2021.107671. eCollection 2021 Dec.

Abstract

Using a collection of publicly available links to short form video clips of an average of 6 seconds duration each, 1275 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.

Keywords: Human memory; Machine learning; Mediaeval benchmark; Video memorability.

Associated data

  • figshare/10.6084/m9.figshare.15105867.v2