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» Measuring and Predicting Object Importance
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CVPR
2012
IEEE
13 years 1 months ago
Automatic discovery of groups of objects for scene understanding
Objects in scenes interact with each other in complex ways. A key observation is that these interactions manifest themselves as predictable visual patterns in the image. Discoveri...
Congcong Li, Devi Parikh, Tsuhan Chen
DAGSTUHL
2010
15 years 19 days ago
Saliency Guided Summarization of Molecular Dynamics Simulations
We present a novel method to measure saliency in molecular dynamics simulation data. This saliency measure is based on a multiscale center-surround mechanism, which is fast and ef...
Robert Patro, Cheuk Yiu Ip, Amitabh Varshney
TEC
2002
81views more  TEC 2002»
14 years 10 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
CVPR
2006
IEEE
16 years 1 months ago
Image-Segmentation Evaluation From the Perspective of Salient Object Extraction
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
CVIU
2007
240views more  CVIU 2007»
14 years 11 months ago
Objective evaluation of approaches of skin detection using ROC analysis
Skin detection is an important indicator of human presence and actions in many domains, including interaction, interfaces and security. It is commonly performed in three steps: tr...
Stephen Schmugge, Sriram Jayaram, Min C. Shin, Leo...