Training linear SVMs in linear time
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
What makes an image memorable?
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Basic level scene understanding: from labels to structure and beyond
SIGGRAPH Asia 2012 Technical Briefs
Proceedings of the 23rd international conference on World wide web
| Hi-index | 0.00 |
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?