Short-and long-lasting consequences of novelty, deviance and surprise on brain and cognition
When one encounters a novel stimulus this sets off a cascade of brain responses, activating
several neuromodulatory systems. As a consequence novelty has a wide range of effects on …
several neuromodulatory systems. As a consequence novelty has a wide range of effects on …
[PDF][PDF] Global contrast factor-a new approach to image contrast.
K Matkovic, L Neumann, A Neumann, T Psik… - CAe, 2005 - researchgate.net
Contrast in image processing is usually defined as a ratio between the darkest and the
brightest spots of an image. In this paper we introduce a different contrast definition. The …
brightest spots of an image. In this paper we introduce a different contrast definition. The …
On the use of tiny convolutional neural networks for human-expert-level classification performance in sonar imagery
DP Williams - IEEE journal of oceanic engineering, 2020 - ieeexplore.ieee.org
Efficient convolutional neural networks (CNNs) are designed and trained for an underwater
target classification task with synthetic aperture sonar (SAS) imagery collected at sea. The …
target classification task with synthetic aperture sonar (SAS) imagery collected at sea. The …
Modelling people's perceived scene complexity of real-world environments using street-view panoramas and open geodata
Scene complexity refers to the difficulty of human perception and understanding of the
specific environment. An environment is complex when it has many parts or components …
specific environment. An environment is complex when it has many parts or components …
Predicting complexity perception of real world images
The aim of this work is to predict the complexity perception of real world images. We propose
a new complexity measure where different image features, based on spatial, frequency and …
a new complexity measure where different image features, based on spatial, frequency and …
Neural dissociation between computational and subjective image complexity.
The complexity of images plays an important role in visual perception, including aesthetic
appreciation. We here propose the information-based model of visual complexity (IVC) …
appreciation. We here propose the information-based model of visual complexity (IVC) …
A fuzzy approach to the evaluation of image complexity
M Cardaci, V Di Gesù, M Petrou, ME Tabacchi - Fuzzy Sets and Systems, 2009 - Elsevier
The inherently multidimensional problem of evaluating the complexity of an image is of a
certain relevance in both computer science and cognitive psychology. Computer scientists …
certain relevance in both computer science and cognitive psychology. Computer scientists …
Visual complexity of shapes: a hierarchical perceptual learning model
Understanding how people perceive the visual complexity of shapes has important
theoretical as well as practical implications. One school of thought, driven by information …
theoretical as well as practical implications. One school of thought, driven by information …
Spatial frequency and the performance of image-based visual complexity metrics
D Durmus - IEEE Access, 2020 - ieeexplore.ieee.org
There is a wide range of visual and spatial complexity measurement methods that aim to
quantify perceived image complexity. While image-based calculation methods (edge …
quantify perceived image complexity. While image-based calculation methods (edge …
A method for measuring geometric information content of area cartographic objects based on discrepancy degree of shape points
K Qiankun, Z **aoguang, H Dongyang… - Geocarto …, 2023 - Taylor & Francis
In order to improve the comparability between the geometric information content of vector
area objects, this article proposes a method for measuring the geometric information content …
area objects, this article proposes a method for measuring the geometric information content …