168 citations · 229 across the 10 of their papers we have counts for
5 papers · 1 filter
Toward Quantifying Ambiguities in Artistic Images
Xi Wang, Zoya Bylinskii, Aaron Hertzmann +1
It has long been hypothesized that perceptual ambiguities play an important role in aesthetic experience: a work with some ambiguity engages a viewer more than one that does not. H…
Look here! A parametric learning based approach to redirect visual attention
Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim +2
Across photography, marketing, and website design, being able to direct the viewer's attention is a powerful tool. Motivated by professional workflows, we introduce an automatic me…
Predicting Visual Importance Across Graphic Design Types
Camilo Fosco, Vincent Casser, Amish Kumar Bedi +3
This paper introduces a Unified Model of Saliency and Importance (UMSI), which learns to predict visual importance in input graphic designs, and saliency in natural images, along w…
Using Behavioral Interactions from a Mobile Device to Classify the Reader's Prior Familiarity and Goal Conditions
Sungjin Nam, Zoya Bylinskii, Christopher Tensmeyer +3
A student reads a textbook to learn a new topic; an attorney leafs through familiar legal documents. Each reader may have a different goal for, and prior knowledge of, their readin…
TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data
Anelise Newman, Barry McNamara, Camilo Fosco +5
Eye movements provide insight into what parts of an image a viewer finds most salient, interesting, or relevant to the task at hand. Unfortunately, eye tracking data, a commonly-us…