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ICASSP
2011
IEEE
12 years 11 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...
CHI
2007
ACM
14 years 8 months ago
Dynamic shared visual spaces: experimenting with automatic camera control in a remote repair task
We present an experimental study of automatic camera control in the performance of collaborative remote repair tasks using video-mediated communication. Twelve pairs of participan...
Abhishek Ranjan, Jeremy P. Birnholtz, Ravin Balakr...
GRAPHITE
2005
ACM
14 years 1 months ago
Auditory bias of visual attention for perceptually-guided selective rendering of animations
The developers and users of real-time graphics, such as games and virtual reality, are demanding ever more realistic computer generated images. Despite the availability of modern ...
Georgia Mastoropoulou, Kurt Debattista, Alan Chalm...
CHI
2010
ACM
14 years 2 months ago
Gazemarks: gaze-based visual placeholders to ease attention switching
Many tasks require attention switching. For example, searching for information on one sheet of paper and then entering this information onto another one. With paper we see that pe...
Dagmar Kern, Paul Marshall, Albrecht Schmidt
BVAI
2007
Springer
13 years 11 months ago
Recognition of Human Faces: From Biological to Artificial Vision
Face recognition is among the most challenging techniques for personal identity verification. Even though it is so natural for humans, there are still many hidden mechanisms which ...
Massimo Tistarelli, Linda Brodo, Andrea Lagorio, M...