The VideoMem or Video Memorability Database (hereafter “the Dataset”) is a collection of sound-less video excerpts and their corresponding ground-truth memorability files. The memorability scores are computed based on the measurement of short-term and long-term memory performances when recognizing small video excerpts a few minutes after viewing them for the short-term case, and 24 to 72 hours later, for the long-term case. It is accompanied with video features extracted from the video excerpts.

It is intended to be used for understanding the memorability of videos and for assessing the quality of methods for predicting the memorability of multimedia content. A detailed description of the dataset can be found on our Data Description page and in the article presenting the dataset (see below for citation). The license conditions are mentioned on the Download page.



All documents and papers that report on research that uses the VideoMem Dataset must acknowledge the use of the dataset by including an appropriate citation to the following:

R. Cohendet, C.-H. Demarty, N. Q. Duong and M. Engilberge. VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability. 2018. Arxiv:1812.01973.


Title = {VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability},

Author = {Romain Cohendet and Claire-H\'{e}l\`{e}ne Demarty and Ngoc Q.K. Duong and Martin Engilberge},

Booktitle = {arxiv:1812.01973},

Year = {2018},



It would be highly appreciated if this use was shared with Technicolor, at this address:, with “VideoMem” in the subject of your email.

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