The Movie Memorability Database and related software (hereafter “the Dataset”) is a collection of movie excerpts and corresponding ground-truth files based on the measurement of long-term memory performance when recognizing small movie excerpts from weeks to years after having viewed them. It is accompanied with audio and video features extracted from the movie excerpts.

It is intended to be used 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 Movie Memorability Dataset must acknowledge the use of the dataset by including an appropriate citation to the following:

2018 R.Cohendet, K. Yadati, N. Q. Duong and C.-H. Demarty. Annotating, understanding, and predicting long-term video memorability. In Proceedings of the ICMR 2018 Conference, Yokohama, Japan, June 11-14, 2018.


Title = {Annotating, understanding, and predicting long-term video memorability},

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

Booktitle = {Proc. of the ICMR 2018 Workshop, Yokohama, Japan, June 11-14},

Year = {2018},


It would be highly appreciated if this use was shared with Technicolor, at this address:

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