[PDF] Top 20 Modeling and Predicting Object Attention in Natural Scenes

... per object and $0.01 per additional instance). 5.6 Object Maps, Fixation Maps, and Saliency Maps Our definition of a saliency map follows the model of Itti and Koch [58], with the au- thors’ original ... See full document

... of natural video stimuli, we observed sophisticated gaze orienting toward salient stimuli in ...computational modeling and free viewing, successfully allowed us to titrate the impact of V1 lesions on ... See full document

... Chapter 1. Background and Work Exploration Figure 1.18: A large scale ecosystem containing a lot of sunflowers. must be distributed throughout it in a realistic manner, reflecting the interactions of plants with each ... See full document

... of natural video scenes encoded with a popula- tion of spiking neural circuits with random ...The natural scenes are modeled as space-time functions that belong to a space of trigonometric ... See full document

... Contrasted structures (visibility): A second feature used for memorability prediction is the contrast of the image struc- tures. It is known [16] that object contrast is a strong attention feature. The most ... See full document

... characterized by other prototypical category features. To test whether reward priming can act to potentiate the set of features that define a category, rather than the specific features that were physically present in ... See full document

... an object is well-described by a 2-dimensional Gaussian distribution ( Nuthmann & Henderson, 2010 ...the object centre, quantifying the so-called preferred viewing location (PVL), and a standard ... See full document

... at predicting where people will look when those scenes are encountered in real life, even sequentially ordered scenes were no better than a formula based model that assumes that people generally look ... See full document

... The number of fixations used for recognition and learning depends on the resolution of the images, and on the amount of visual information. In low-resolution images with few objects, three fixations may be sufficient to ... See full document

... expectations: attention was captured to a less degree to the silhouette whose size did not match the expected target size, allowing participants to be more accurate than in consistent trials, where the size of the ... See full document

... for object categories in natural scenes, for which low-­‐level features do not reliably distinguish targets from ...of scenes, directly followed by a dot that subjects were instructed to ... See full document

... cluttered scenes at any given time, such that objects compete for ...of object categories in cluttered natural scenes is remarkably ...cluttered scenes? In the present study, we used ... See full document

... in natural scenes Next, we moved to our main question regarding the temporal dynamics of attentional selection in natural scenes: when does the categorical representation of target objects ... See full document

... against natural visual ...visual scenes consisted of multiple targets presented simultaneously with respect to the ...of natural objects, presented in different textured backgrounds during ... See full document

... indoor scenes while their eye-movements were recorded in a free-viewing ...increased attention towards sleep-related stimuli, as indexed by earlier and more frequent fixations on ...of scenes in ... See full document

... Object tracking in video processing follows the segmentation step and is more or less equivalent to the ‘recognition’ step in the image processing. Detection of moving objects in video streams is the first ... See full document

... non-rigid thin-plate matching techniques. The thin-plate spline model al- lows for a global affine transformation of the shape while also allowing some local deviations from the affine model for each straight contour ... See full document

... Second is the set of algorithms based on object segmentation and classification- the scene is segmented into objects which are classified into preexisting classes (l[r] ... See full document

... The Bag of Words model does not take into account the spatial information of the features. Moreover, spatial information of object is an important cue in image classification. In order to overcome this problem, ... See full document

... While elaborative coding of verbal material is advantageous, it is also attention- demanding. Direct evidence of the importance of executive resources in remembering comes from studies using concurrent secondary ... See full document