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» A Computational Model for Visual Size, Location and Movement
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ICCV
2009
IEEE
15 years 1 months ago
Using machine learning to predict where people look
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable o...
Tilke Judd, Krista Ehinger, Fr´edo Durand, Antoni...
SC
2005
ACM
14 years 2 months ago
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Fan-Yin Tzeng, Kwan-Liu Ma
ICIP
2009
IEEE
13 years 6 months ago
Incremental sparse saliency detection
By the guidance of attention, human visual system is able to locate objects of interest in complex scene. We propose a new visual saliency detection model for both image and video...
Yin Li, Yue Zhou, Lei Xu, Xiaochao Yang, Jie Yang
CG
2000
Springer
13 years 8 months ago
Procedural shape generation for multi-dimensional data visualization
Visualization of multi-dimensional data is a challenging task. The goal is not the display of multiple data dimensions, but user comprehension of the multi-dimensional data. This p...
David S. Ebert, Randall M. Rohrer, Christopher D. ...
COGCOM
2010
107views more  COGCOM 2010»
13 years 6 months ago
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention
To decide ``Where to look next ?'' is a central function of the attention system of humans, animals and robots. Control of attention depends on three factors, that is, lo...
Marco Wischnewski, Anna Belardinelli, Werner X. Sc...