Filters








1,611 Hits in 4.2 sec

Feature congestion

Ruth Rosenholtz, Yuanzhen Li, Jonathan Mansfield, Zhenlan Jin
2005 Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '05  
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

Niels Willems, Huub van de Wetering, Jarke J. van Wijk
2011 Computer graphics forum (Print)  
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

Antje Nuthmann, Wolfgang Einhäuser
2015 Annals of the New York Academy of Sciences  
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

S Roy, R Sen, S Kulkarni, P Kulkarni, B Raman, L K Singh
2011 2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011)  
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

Alasdair D. F. Clarke, Moreno I. Coco, Frank Keller
2013 Frontiers in Psychology  
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

Tom Foulsham, Alan Kingstone
2010 Vision Research  
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

Julie L Darbyshire, Paul R. Greig, Lisa Hinton, J Duncan Young
2021 International Journal of Medical Informatics  
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

Antje Nuthmann
2016 Psychonomic Bulletin & Review  
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]

Jorge Laval, Hao Zhou
2020 arXiv   pre-print
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

Ruth Rosenholtz, Yuanzhen Li, Lisa Nakano
2007 Journal of Vision  
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

M. I. Coco, F. Keller
2014 Journal of Vision  
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

James Evans, Michael Robinson, Bradley Crowe, Diana Klingle-Wilson, Shawn Allan
2003 Air Traffic Control Quarterly  
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]

Franz Sauer, Kwan-Liu Ma
2019 arXiv   pre-print
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]

Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han
2020 arXiv   pre-print
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

Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
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
« Previous Showing results 1 — 15 out of 1,611 results