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Dynamic visual attention: searching for coding length increments

Xiaodi Hou, Liqing Zhang
2008 Neural Information Processing Systems  
In this paper, a dynamic visual attention model based on the rarity of features is proposed. We introduce the Incremental Coding Length (ICL) to measure the perspective entropy gain of each feature.  ...  By selecting features with large coding length increments, the computational system can achieve attention selectivity in both static and dynamic scenes.  ...  Acknowledgements We thank Neil Bruce, John Tsotsos, and Laurent Itti for sharing their experimental data.  ... 
dblp:conf/nips/HouZ08 fatcat:ltxycsanlbdyjfqeq66ivajvdq

Dynamic Network Visualization

James Moody, Daniel McFarland, Skye Bender‐deMoll
2005 American Journal of Sociology  
Increased interest in longitudinal social networks and the recognition that visualization fosters theoretical insight create a need for dynamic network visualizations, or network "movies."  ...  In this article, we hope to extend a bit more science into the art of dynamic network visualizations and further the theoretical discussion about social network dynamics.  ...  Star status proves somewhat unstable, however, as the search for reciprocity means that nodes only nominate stars for a short time.  ... 
doi:10.1086/421509 fatcat:jihliscm6zevjpb37r4i3a3l4y

Interactive Dynamics for Visual Analysis

Jeffrey Heer, Ben Shneiderman
2012 Queue  
The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives.  ...  To be most effective, visual analytics tools must support the fluent and flexible use of visualizations at rates resonant with the pace of human thought.  ...  ACKNOWLEDGMENTS We thank our colleagues and students for providing valuable comments on drafts: Maneesh  ... 
doi:10.1145/2133416.2146416 fatcat:6og3emiy4vaj7jlyvjlukuh4mm

Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays [chapter]

Christopher Ahlberg, Ben Shneiderman
1995 Readings in Human–Computer Interaction  
This paper offers new principles for visual information seeking (VIS).  ...  foster search input).  ...  Dynamic queries were applied by having a double box range selector to specify film length in minutes, by having buttons for ratings (G, PG, PG-13, R), large color coded buttons for film categories (drama  ... 
doi:10.1016/b978-0-08-051574-8.50047-9 fatcat:rwcwyw2pgjduvbk2xb5r2oonjy

An Incremental Layout Method for Visualizing Online Dynamic Graphs

Tarik Crnovrsanin, Jacqueline Chu, Kwan-Liu Ma
2017 Journal of Graph Algorithms and Applications  
Traditional force-directed methods are not suitable for laying out dynamic graphs because of their design for static graphs.  ...  Our resulting visualization maintains readability of the graph structure and is efficient in laying out these changing networks.  ...  Since aging uses our incremental layout code, it is not Figure 6 : Visualization of the Stack Overflow data, comparing pinning and pinning with independent refinement at the same instance.  ... 
doi:10.7155/jgaa.00406 fatcat:ezzuw5jv7ndyvc4dq2dnqnhubq

Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers [article]

Baihan Lin
2021 arXiv   pre-print
We compute this universal code incrementally across neural network layers and demonstrate the flexibility to include data priors such as top-down attention and other oracle information.  ...  length.  ...  MI only accounts for the data code length.  ... 
arXiv:1902.10658v13 fatcat:bb7helcugrehddai22n3zwtfgu

Attention, please! A survey of Neural Attention Models in Deep Learning [article]

Alana de Santana Correia, Esther Luna Colombini
2021 arXiv   pre-print
For decades, concepts and functions of attention have been studied in philosophy, psychology, neuroscience, and computing.  ...  For the last six years, this property has been widely explored in deep neural networks.  ...  The attention guided by the decoder's previous state dynamically searches for important source words for the next time step. b) The End-to-End Memory Networks.  ... 
arXiv:2103.16775v1 fatcat:lwkw42lrircorkymykpgdmlbwq

A Cascaded and Adaptive Visual Predictive Control Approach for Real-Time Dynamic Visual Servoing

Sina Sajjadi, Mehran Mehrandezh, Farrokh Janabi-Sharifi
2022 Drones  
In the past two decades, Unmanned Aerial Vehicles (UAVs) have gained attention in applications such as industrial inspection, search and rescue, mapping, and environment monitoring.  ...  A 2-DoF model helicopter, with a coupled nonlinear pitch/yaw dynamics, equipped with a front-looking monocular camera, was utilised for hypothesis testing and evaluation via experiments.  ...  Academic research on visual navigation and path planning for UAVs has seen a quantum leap.  ... 
doi:10.3390/drones6050127 fatcat:lrlzd7bd45b53ke4vzx3cnbhu4

Individual differences in search and monitoring for color targets in dynamic visual displays

Alex Muhl-Richardson, Hayward J. Godwin, Matthew Garner, Julie A. Hadwin, Simon P. Liversedge, Nick Donnelly
2018 Journal of experimental psychology. Applied  
The results have implications for the selection of individuals tasked with monitoring dynamic visual displays for target onsets.  ...  Many real-world tasks now involve monitoring visual representations of data that change dynamically over time.  ...  IU has been INDIVIDUAL DIFFERENCES IN DYNAMIC VISUAL SEARCH 6 associated with attentional biases even after factors including anxiety, depression and distress were controlled for (Fergus, Bardeen, & Wu  ... 
doi:10.1037/xap0000155 pmid:29389162 fatcat:orluidhadjfmbkon7mypeywjya

166 Attentional capture and oculomotor control

Arthur F. Kramer, Sowon Hahn, David E. Irwin, Jan Theeuwes
1998 International Journal of Psychophysiology  
ATTENTION, TEXTURE, AND VISUAL SEARCH * A new powerful method for the study of feature binding in conjunction visual search J Allik, M Toom, K Kreegipuu, A Hannus (Department of Psychology, University  ...  We investigated the interplay of visuospatial and selective attention in visual search.  ... 
doi:10.1016/s0167-8760(98)90166-0 fatcat:7o5vmrk5zvbizd23bmpcbkrs7q

Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers

Baihan Lin
2021 Entropy  
We compute this universal code incrementally across neural network layers and demonstrate the flexibility to include data priors such as top-down attention and other oracle information.  ...  length.  ...  Acknowledgments: The authors thank members of Cecchi, Qian and Kriegeskorte laboratories from IBM Research and Columbia University for helpful discussions.  ... 
doi:10.3390/e24010059 pmid:35052085 pmcid:PMC8774926 fatcat:2m6wl4xsrbeixiysjgwgkld2xu

VDO-SLAM: A Visual Dynamic Object-aware SLAM System [article]

Jun Zhang and Mina Henein and Robert Mahony and Viorela Ila
2021 arXiv   pre-print
An open-source version of the source code is available.  ...  This paper presents VDO-SLAM, a robust visual dynamic object-aware SLAM system that exploits semantic information to enable accurate motion estimation and tracking of dynamic rigid objects in the scene  ...  Huangying Zhan for providing help in preparing the testing datasets.  ... 
arXiv:2005.11052v3 fatcat:64iwdermoje6rnr22pt7rrqgli

Preparatory attention incorporates contextual expectations [article]

Surya Gayet, Marius V. Peelen
2021 bioRxiv   pre-print
Human participants searched for objects at different distances in scenes.  ...  Current theories of attentional selection propose that this ability is mediated by target-specific preparatory activity in visual cortex, biasing visual processing in favor of the target object.  ...  The authors would like to thank Nicolò Trevisan for help with the stimulus creation and data collection, and Stefan van der Stigchel, Maëlle Lerebourg, and Genevieve Quek for helpful comments on earlier  ... 
doi:10.1101/2021.10.17.464696 fatcat:srvdmbg4xfeotayxwhui4ehxca

DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression [article]

Changhong Fu, Fangqiang Ding, Yiming Li, Jin Jin, Chen Feng
2020 arXiv   pre-print
Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV).  ...  By repressing the response of distractors in the regressor learning, we can dynamically and adaptively alter our regression target to leverage the tracking robustness as well as adaptivity.  ...  It is noted that '-MA' denotes the method only applying motion-aware (MA) search strategy, while '-DR' means using dynamic regression for the filter training.  ... 
arXiv:2008.03912v1 fatcat:w4jtateahrbsxoauwwz6ipcy74

Attention, spatial representation, and visual neglect: Simulating emergent attention and spatial memory in the selective attention for identification model (SAIM)

Dietmar Heinke, Glyn W. Humphreys
2003 Psychological review  
We thanks two anonymous reviewers and Mike Mozer for their detailed comments. Attention, spatial representations and visual neglect  ...  visual search to be simulated (Mozer & Sitton 1998) .  ...  SAIM provides a general framework for understanding selective processes in vision, including those found in visual search.  ... 
doi:10.1037//0033-295x.110.1.29 fatcat:q2omjo34jngrtnc35kvw7au4vm
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