Image memorability and visual inception

• Main Authors: Khosla, Aditya (Contributor), Xiao, Jianxiong (Contributor), Isola, Phillip John (Contributor), Torralba, Antonio (Contributor), Oliva, Aude (Contributor)
• Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
• Format: Article
• Language: English
• Published: Association for Computing Machinery, 2014-10-15T20:52:19Z.
• Subjects: Article
• Online Access: Get fulltext

When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. However, not all images are equal in memory; some stitch to our minds, while others are forgotten. In this paper we discuss the notion of image memorability and the elements that make it memorable. Our recent works have shown that image memorability is a stable and intrinsic property of images that is shared across different viewers. Given that this is the case, we discuss the possibility of modifying the memorability of images by identifying the memorability of image regions. Further, we introduce and provide evidence for the phenomenon of visual inception: can we make people believe they have seen an image they have not?
Google (U.S./Canada Ph.D. Fellowship in Computer Vision)
National Science Foundation (U.S.) (NSF Career Award (0747120))
Google (Research award)
United States. Office of Naval Research (ONR MURI N000141010933)
National Science Foundation (U.S.) (NSF grant (1016862))