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An annotated video dataset for computing video memorability.

Authors :
Kiziltepe RS
Sweeney L
Constantin MG
Doctor F
García Seco de Herrera A
Demarty CH
Healy G
Ionescu B
Smeaton AF
Source :
Data in brief [Data Brief] 2021 Dec 04; Vol. 39, pp. 107671. Date of Electronic Publication: 2021 Dec 04 (Print Publication: 2021).
Publication Year :
2021

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.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.<br /> (© 2021 The Author(s).)

Details

Language :
English
ISSN :
2352-3409
Volume :
39
Database :
MEDLINE
Journal :
Data in brief
Publication Type :
Academic Journal
Accession number :
34934785
Full Text :
https://doi.org/10.1016/j.dib.2021.107671