Visual correlates of fixation selection: effects of scale and time.

By B. Tatler, Roland J. Baddeley, Iain D. Gilchrist. Vision Research, 2005

792 citations recorded by the source corpus.

Subfields: Law

View Paper: https://www.semanticscholar.org/paper/ae38ed953333fb39eb671fce0247db65a09b3a80

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Citations in the corpus

Predicting human gaze using low-level saliency combined with face detection (2007, background): “on a map above threshold as false alarms, and the fraction of fixated pixels above threshold as hits [29, 31].”
Methods for comparing scanpaths and saliency maps: strengths and weaknesses (2012, methodology): “This first analysis method is used in studies such as Tatler, Baddeley, and Gilchrist (2005) and Torralba, Oliva, Castelhano, and Henderson (2006).”
Variability of eye movements when viewing dynamic natural scenes. (2010, background): “It is a well-established fact that the consistency in fixation locations between observers decreases with prolonged viewing (Tatler et al., 2005).”
Predicting visual fixations on video based on low-level visual features. (2007, background): “As shown in (Tatler et al., 2005), the fixation position is dependent on the content that was displayed prior to the change.”
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet (2014, methodology): “As performance measure we use shuffled area under the curve (shuffled AUC) here (Tatler et al., 2005).”
Task and context determine where you look. (2016, methodology): “In a visual search task, the stimuli may be artificial to probe feature searches (Wolfe, 1998) or may be more naturalistic; that is, they may be photographs of natural scenes (Krieger et al., 2000; Mannan et al., 1996; Reinagel & Zador, 1999; Tatler et al., 2005).”
ScanMatch: A novel method for comparing fixation sequences (2010, background): “…of eye trackers and a reduction in their cost, eye movement studies have not only flourished in vision research (e.g. Parkhurst, Law & Niebur, 2002; Tatler, Baddeley & Gilchrist, 2005) but also language (see Rayner, 1998, 2009), advertising (e.g. Pieters, Rosbergen, & Wedel, 1999; Maughan,…”
Gaze allocation in natural stimuli: Comparing free exploration to head-fixed viewing conditions (2009, methodology): “Following Tatler et al. (2005), we binned the display in squares (here: 16 16 pixels) and defined the probability P(x,y) of fixation from this histogram F(x,y) as FREE EXPLORATION VERSUS ‘‘FREE’’ VIEWING 1139 0 5x10-5 4x10-5 3x10-5 2x10-5 1x10-5 C B 0 21°-21° 0 21°-21° 0…”
Image Signature: Highlighting Sparse Salient Regions (2012, background): “[13]: For one image, the positive sample set is composed of the fixation points of all subjects on that image, whereas the negative sample set is composed of the union of all fixation points across all images from the same data set—except for the positive samples.”
Eye guidance in natural vision: Reinterpreting salience (2011, neutral): “…is that simple features are extracted pre-attentively Downloaded from jov.arvojournals.org on 11/14/2021 at early levels of visual processing and that the spatial deviations of features from the local surround can, therefore, provide a basis for directing attention to regions of potential interest.”
The Secrets of Salient Object Segmentation (2014, background): “To make a fair evaluation of the algorithm’s true prediction power, rather than how well it fits to a dataset, Tatler [22] proposed a shuffled-AUC (s-AUC) score to normalize the effect of center-bias.”
Computational visual attention systems and their cognitive foundations: A survey (2010, background): “In [Tatler et al. 2005], they state that “contrast and edge information was more strongly discriminatory than luminance or chromaticity”.”