Modifying the Memorability of Face Photographs

Contemporary life bombards us with many new images of faces every day, which poses non-trivial constraints on human memory. The vast majority of face photographs are intended to be remembered, either because of personal relevance, commercial interests or because the pictures were deliberately design...

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书目详细资料
Main Authors: Khosla, Aditya, Bainbridge, Wilma A., Torralba, Antonio, Oliva, Aude
其他作者: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
格式: 文件
语言:en_US
出版: Institute of Electrical and Electronics Engineers (IEEE) 2014
在线阅读:http://hdl.handle.net/1721.1/90986
https://orcid.org/0000-0002-0007-3352
https://orcid.org/0000-0003-4915-0256
实物特征
总结:Contemporary life bombards us with many new images of faces every day, which poses non-trivial constraints on human memory. The vast majority of face photographs are intended to be remembered, either because of personal relevance, commercial interests or because the pictures were deliberately designed to be memorable. Can we make a portrait more memorable or more forgettable automatically? Here, we provide a method to modify the memorability of individual face photographs, while keeping the identity and other facial traits (e.g. age, attractiveness, and emotional magnitude) of the individual fixed. We show that face photographs manipulated to be more memorable (or more forgettable) are indeed more often remembered (or forgotten) in a crowd-sourcing experiment with an accuracy of 74%. Quantifying and modifying the 'memorability' of a face lends itself to many useful applications in computer vision and graphics, such as mnemonic aids for learning, photo editing applications for social networks and tools for designing memorable advertisements.