Modifying the Memorability of Face Photographs
Author(s)Khosla, Aditya; Bainbridge, Wilma A.; Torralba, Antonio; Oliva, Aude
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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.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Proceedings of the 2013 IEEE International Conference on Computer Vision
Institute of Electrical and Electronics Engineers (IEEE)
Khosla, Aditya, Wilma A. Bainbridge, Antonio Torralba, and Aude Oliva. “Modifying the Memorability of Face Photographs.” 2013 IEEE International Conference on Computer Vision (December 2013).
Author's final manuscript