[HTML][HTML] The neural bases of spatial frequency processing during scene perception

L Kauffmann, S Ramanoël, C Peyrin - Frontiers in integrative …, 2014 - frontiersin.org
Theories on visual perception agree that scenes are processed in terms of spatial
frequencies. Low spatial frequencies (LSF) carry coarse information whereas high spatial …

Prediction, context, and competition in visual recognition

S Trapp, M Bar - Annals of the New York Academy of Sciences, 2015 - Wiley Online Library
Perception is substantially facilitated by top‐down influences, typically seen as predictions.
Here, we outline that the process is competitive in nature, in that sensory input initially …

Spatial frequency processing in scene-selective cortical regions

L Kauffmann, S Ramanoël, N Guyader, A Chauvin… - NeuroImage, 2015 - Elsevier
Visual analysis begins with the parallel extraction of different attributes at different spatial
frequencies. Low spatial frequencies (LSF) convey coarse information and are characterized …

[HTML][HTML] Central and peripheral vision for scene recognition: A neurocomputational modeling exploration

P Wang, GW Cottrell - Journal of vision, 2017 - iovs.arvojournals.org
What are the roles of central and peripheral vision in human scene recognition? Larson and
Loschky (2009) showed that peripheral vision contributes more than central vision in …

Spatial frequencies and emotional perception

A De Cesarei, M Codispoti - Reviews in the Neurosciences, 2013 - degruyter.com
It has been suggested that, during evolution, specific mechanisms developed in order to
optimize the detection of threats and opportunities even in perceptually degraded …

[HTML][HTML] Full-Reference image quality assessment based on Grünwald–Letnikov derivative, image gradients, and visual saliency

D Varga - Electronics, 2022 - mdpi.com
The purpose of image quality assessment is to estimate digital images' perceptual quality
coherent with human judgement. Over the years, many structural features have been utilized …

Do humans and deep convolutional neural networks use visual information similarly for the categorization of natural scenes?

A De Cesarei, S Cavicchi, G Cristadoro… - Cognitive …, 2021 - Wiley Online Library
The investigation of visual categorization has recently been aided by the introduction of
deep convolutional neural networks (CNNs), which achieve unprecedented accuracy in …

Leveraging structural context models and ranking score fusion for human interaction prediction

Q Ke, M Bennamoun, S An, F Sohel… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Predicting an interaction before it is fully executed is very important in applications, such as
human-robot interaction and video surveillance. In a two-human interaction scenario, there …

Understanding natural scenes: Contributions of image statistics

A De Cesarei, GR Loftus, S Mastria… - … & Biobehavioral Reviews, 2017 - Elsevier
Visual processing of natural scenes is carried out in a hierarchical sequence of stages that
involve the analysis of progressively more complex features of the visual input. Recent …

Re‐presentations of space in hollywood movies: An event‐indexing analysis

J Cutting, C Iricinschi - Cognitive science, 2015 - Wiley Online Library
Popular movies present chunk‐like events (scenes and subscenes) that promote episodic,
serial updating of viewers' representations of the ongoing narrative. Event‐indexing theory …