Understanding and Predicting Image Memorability at a Large Scale

Understanding and Predicting Image Memorability at a Large Scale

Progress in estimating visual memorability has been limited by the small scale and lack of variety of benchmark data. Here, we introduce a novel experimental procedure to objectively measure human memory, allowing us to build LaMem, the largest annotated image memorability dataset to date (containin...

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Bibliographic Details
Main Authors: Khosla, Aditya, Raju, Akhil G., Torralba, Antonio, Oliva, Aude
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2017
Online Access:http://hdl.handle.net/1721.1/112993
https://orcid.org/0000-0002-0007-3352
https://orcid.org/0000-0003-4915-0256

Internet

http://hdl.handle.net/1721.1/112993
https://orcid.org/0000-0002-0007-3352
https://orcid.org/0000-0003-4915-0256

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