• DocumentCode
    3428588
  • Title

    Modifying the Memorability of Face Photographs

  • Author

    Khosla, Aditya ; Bainbridge, Wilma A. ; Torralba, Antonio ; Oliva, Alfonso

  • Author_Institution
    Comput. Sci. & Artificial Intell. Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    1-8 Dec. 2013
  • Firstpage
    3200
  • Lastpage
    3207
  • 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.
  • Keywords
    computer vision; face recognition; photography; computer graphics; computer vision; crowd-sourcing experiment; face photograph; facial traits; human memory; memorability modification; mnemonic aids; nontrivial constraint; photo editing application; social networks; Computer vision; Cost function; Face; Measurement; Principal component analysis; Shape; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2013.397
  • Filename
    6751509