We introduce a new protocol to objectively measure human memory of videos at two points of time (a few minutes and then 24-72 hours after memorization) and.

Dec 5, 2018 · This paper focuses on providing computational models for the prediction of the intrinsic memorability of visual content.

This paper focuses on understanding the intrinsic memorability of visual content. To address this challenge, we introduce a large scale dataset (VideoMem)

After an in-depth analysis of the dataset, various deep neural network-based models for the prediction of video memorability are investigated and the best ...

Dec 5, 2018 · VideoMem: Construct- ing, Analyzing, Predicting Short-term and Long-term Video Memorability. 2018. hal-01945091. Page 2. VideoMem ...

VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term. Video Memorability. Supplementary Material. Romain Cohendet. Technicolor, Rennes, France.

VideoMem. Introduced by Cohendet et al. in VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability.

Sep 9, 2024 · This paper focuses on providing computational models for the prediction of the intrinsic memorability of visual content. To address this new ...

The VideoMem or Video Memorability Database is a collection of sound-less video excerpts and their corresponding ground-truth memorability files.

Over the course of those four tasks, we have learned that short-term video memorability is easier to predict than long-term memorability, simple image features, ...