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Feature congestion
2005
Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '05
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However, clutter is not a well defined concept. In this paper, we present the Feature Congestion measure of display clutter. ...
This measure is based upon extensive modeling of the saliency of elements of a display, and upon a new operational definition of clutter. ...
This Feature Congestion measure of clutter makes use of extensive modeling of what makes items in a display visually salient. ...
doi:10.1145/1054972.1055078
dblp:conf/chi/RosenholtzLMJ05
fatcat:abql43on7nccljl3qkp5x2dtuu
Evaluation of the Visibility of Vessel Movement Features in Trajectory Visualizations
2011
Computer graphics forum (Print)
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The performance is measured in terms of correctness and response time. The user test shows that each visualization type excels for correctness for a specific movement feature. ...
In this user study, we test the performance of three of these visualizations with respect to three movement features that occur in vessel behavior. ...
This work has been carried out as a part of the Poseidon project at Thales Nederland under the responsibilities of the Embedded Systems Institute (ESI). ...
doi:10.1111/j.1467-8659.2011.01929.x
fatcat:b6wujeqfina6tkdrxwxeu6phyi
A new approach to modeling the influence of image features on fixation selection in scenes
2015
Annals of the New York Academy of Sciences
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A new approach to modeling the influence of image features on fixation selection in scenes Citation for published version: Nuthmann, A & Einhäuser, W 2015, 'A new approach to modeling the influence of ...
image features on fixation selection in scenes' ...
A feature congestion map of visual clutter was computed for each scene, using the algorithms described by Rosenholtz et al. 18 Figure 1D depicts the feature congestion map of visual clutter for the ...
doi:10.1111/nyas.12705
pmid:25752239
pmcid:PMC4402003
fatcat:e4ocqavm5fdpdfdi6vpx5z737a
Wireless across road: RF based road traffic congestion detection
2011
2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011)
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Our system comprises of a wireless sender-receiver pair across a road. The sender continuously sends packets. The receiver measures metrics like signal strength, link quality and packet reception. ...
From about 15 hours of experimental data on two different roads in Mumbai, we show that we can classify traffic states as free-flowing and congested using a decision tree based classifier with 97% accuracy ...
We create a data set for the 112 logs, with the aforementioned 24 values as features and a class label of 1 for congested and 0 for free-flowing traffic, based on ground truth. this dataset, we repeat ...
doi:10.1109/comsnets.2011.5716525
dblp:conf/comsnets/RoySKKRS11
fatcat:baaqczpsy5bwbbstqs6ydfxhfe
The impact of attentional, linguistic, and visual features during object naming
2013
Frontiers in Psychology
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To address this question, we investigate object naming, a task in which participants have to verbally identify objects they see in photorealistic scenes. ...
We then ask how features from different modalities are combined during naming, and find significant interactions between saliency and position, saliency and linguistic features, and attention and position ...
ACKNOWLEDGMENTS The support of the European Research Council under award number 203427 "Synchronous Linguistic and Visual Processing" is gratefully acknowledged. ...
doi:10.3389/fpsyg.2013.00927
pmid:24379792
pmcid:PMC3861867
fatcat:gkqdt4dwyzaqtcbglhobyojpda
Asymmetries in the direction of saccades during perception of scenes and fractals: Effects of image type and image features
2010
Vision Research
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These biases were modulated by the distribution of visual features (saliency and clutter) in the scene. ...
The results suggest that image orientation, visual features and the scene frame-of-reference have a rapid effect on eye guidance. ...
Acknowledgments T.F. is supported by a Commonwealth Fellowship from the Government of Canada. We are grateful to Ben Tatler and one anonymous reviewer for their very helpful comments on this research. ...
doi:10.1016/j.visres.2010.01.019
pmid:20144645
fatcat:qjpqfrnfvngyzppb6emiurpy4a
Monitoring sound levels in the intensive care unit: a mixed-methods system development project to optimize design features for a new electronic interface in the healthcare environment
2021
International Journal of Medical Informatics
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To help ICU staff manage activities we developed a visual display that monitors and reports sound levels in real-time. ...
Acknowledgements Many thanks to the staff and patients of the Adult Intensive Care Unit, Oxford University Hospitals NHS Foundation Trust, with particular thanks to matrons Matt Holdaway and Lyn Bennett ...
This analysis produces two measures of visual complexity; feature congestion (conveys clutter, and predicts the difficulty of locating a new variable added to the display), and sub-band entropy (related ...
doi:10.1016/j.ijmedinf.2021.104538
pmid:34343956
fatcat:xuxfeoo5yjhxjblqmflpwfup34
Fixation durations in scene viewing: Modeling the effects of local image features, oculomotor parameters, and task
2016
Psychonomic Bulletin & Review
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As a key finding, the local image features around the current fixation predicted this fixation's duration. For instance, greater luminance was associated with shorter fixation durations. ...
Linear mixed models (LMMs) were used to test whether local image statistics (including luminance, luminance contrast, edge density, visual clutter, and the number of homogeneous segments), calculated for ...
Specifically, the feature congestion measure of visual clutter (Rosenholtz, Li, & Nakano, 2007) was included as a surrogate measure for objects, and synergistic image segmentation (Christoudias, Georgescu ...
doi:10.3758/s13423-016-1124-4
pmid:27480268
pmcid:PMC5390002
fatcat:2f7gxqepmraj3lrlk4lagb3lp4
Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
[article]
2020
arXiv
pre-print
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Notably, we found that no control (i.e. random policy) can be an effective control strategy for a surprisingly large family of networks. ...
Our results apply to all possible grid networks thanks to a parametrization based on two network parameters: the ratio of the expected distance between consecutive traffic lights to the expected green ...
is the simplest model able to predict the main features of traffic flow. ...
arXiv:2008.10989v1
fatcat:lc2ss7i6rjc5tks4zimqvfjapm
Measuring visual clutter
2007
Journal of Vision
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This Feature Congestion measure of visual clutter is based on the analogy that the more cluttered a display or scene is, the more difficult it would be to add a new item that would reliably draw attention ...
The first is a new version of the Feature Congestion measure of visual clutter presented in R. Rosenholtz, Y. Li, S. Mansfield, and Z. Jin (2005). ...
A measure of visual clutter: Feature congestion When is a desk cluttered? ...
doi:10.1167/7.2.17
pmid:18217832
fatcat:3sci6oxsabe6xgzgmm36ixdgzu
Classification of visual and linguistic tasks using eye-movement features
2014
Journal of Vision
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An analysis of the relative importance of features for classification accuracy reveals that just one feature, i.e., initiation time, is sufficient for above-chance performance (a maximum of 79% accuracy ...
A recent study by Greene, Liu, and Wolfe (2012) , however, fails to achieve accurate classification of visual tasks based on eye-movement features. ...
Acknowledgment We thank Monica Castelhano, the editor and two anonymous reviewers for their insightful feedback on earlier versions of this manuscript. ...
doi:10.1167/14.3.11
pmid:24610954
fatcat:lzxfnrflljfg3ck5ooijs7j2kq
Reducing Severe Weather Delays in Congested Airspace with Weather Decision Support for Tactical Air Traffic Management
2003
Air Traffic Control Quarterly
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Reducing congested airspace delays due to thunderstorms has become a major objective of the FAA due to the recent growth in convective delays. ...
This "strategic" approach experienced difficulties in a large fraction of the weather events because it was not possible to forecast convective storm impacts on routes and capacities accurately enough ...
A key feature is the real time indication of forecast accuracy (not shown). The two windows on the right show the NEXRAD VIL mosaic and echo tops map products. ...
doi:10.2514/atcq.11.4.311
fatcat:yugddu3lbffz7ctkyxl2yyqghy
Multifaceted 4D Feature Segmentation and Extraction in Point and Field-based Datasets
[article]
2019
arXiv
pre-print
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The use of large-scale multifaceted data is common in a wide variety of scientific applications. ...
In many cases, this multifaceted data takes the form of a field-based (Eulerian) and point/trajectory-based (Lagrangian) representation as each has a unique set of advantages in characterizing a system ...
Department of Energy through grant DE-SC0012610 and DE-SC0007443. ...
arXiv:1903.12294v1
fatcat:c3w7huce7jcn7irrykn24sf73q
Shallow Feature Based Dense Attention Network for Crowd Counting
[article]
2020
arXiv
pre-print
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In this paper, we propose a Shallow feature based Dense Attention Network (SDANet) for crowd counting from still images, which diminishes the impact of backgrounds via involving a shallow feature based ...
Moreover, considering that the most representative features of people across different scales can appear in different layers of a feature extraction network, to better keep them all, we propose to densely ...
The majority of them focused on addressing two problems when (a) Background noise (b) Scale variation Figure 1 : Illustrations of the problems of cluttered backgrounds and varying scales of people. ...
arXiv:2006.09853v1
fatcat:gh7d2ehzmvf27bwph7sns5o5nu
Shallow Feature Based Dense Attention Network for Crowd Counting
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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In this paper, we propose a Shallow feature based Dense Attention Network (SDANet) for crowd counting from still images, which diminishes the impact of backgrounds via involving a shallow feature based ...
Moreover, considering that the most representative features of people across different scales can appear in different layers of a feature extraction network, to better keep them all, we propose to densely ...
The majority of them focused on addressing two problems when (a) Background noise (b) Scale variation Figure 1 : Illustrations of the problems of cluttered backgrounds and varying scales of people. ...
doi:10.1609/aaai.v34i07.6848
fatcat:pydjh63oozdvlinleqfzrpyj4m
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