Modifying the Memorability of Face Photographs

A. Khosla, Wilma A. Bainbridge, A. Torralba, A. Oliva
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引用次数: 107

Abstract

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.
修改面部照片的可记忆性
现代生活每天都以许多新的面孔图像轰炸我们,这对人类的记忆构成了不小的限制。绝大多数的面部照片都是为了让人记住,要么是因为个人相关,要么是因为商业利益,要么是因为这些照片被故意设计成令人难忘的。我们能自动让一幅肖像更难忘或更容易忘记吗?在这里,我们提供了一种方法来修改个人面部照片的可记忆性,同时保持个人的身份和其他面部特征(如年龄,吸引力和情绪大小)固定。在一项众包实验中,我们以74%的准确率表明,经过处理的人脸照片更容易被记住(或遗忘),确实更容易被记住(或遗忘)。量化和修改面部的“可记忆性”在计算机视觉和图形学中有许多有用的应用,例如学习的助记工具,社交网络的照片编辑应用程序和设计令人难忘的广告的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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