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TIP
2010
93views more  TIP 2010»
14 years 4 months ago
Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing Tasks
A purely bottom-up model of visual attention is proposed and compared to five state-of-the-art models. The role of the low-level visual features is examined in two contexts. Two da...
Olivier Le Meur, Jean-Claude Chevet
HCI
2009
14 years 7 months ago
A Computational Implementation of a Human Attention Guiding Mechanism in MIDAS v5
In complex human-machine systems, the human operator is often required to intervene to detect and solve problems. Given this increased reliance on the human in these critical human...
Brian F. Gore, Becky L. Hooey, Christopher D. Wick...
TIP
2008
124views more  TIP 2008»
14 years 9 months ago
GAFFE: A Gaze-Attentive Fixation Finding Engine
Abstract-- The ability to automatically detect visually interesting regions in images has many practical applications, especially in the design of active machine vision and automat...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
PAMI
2006
229views more  PAMI 2006»
14 years 9 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
MM
2005
ACM
178views Multimedia» more  MM 2005»
15 years 3 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan