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» Human attention model for semantic scene analysis in movies
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PAMI
2010
192views more  PAMI 2010»
13 years 3 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
ICMI
2010
Springer
217views Biometrics» more  ICMI 2010»
13 years 2 months ago
Focusing computational visual attention in multi-modal human-robot interaction
Identifying verbally and non-verbally referred-to objects is an important aspect of human-robot interaction. Most importantly, it is essential to achieve a joint focus of attentio...
Boris Schauerte, Gernot A. Fink
MM
2010
ACM
146views Multimedia» more  MM 2010»
13 years 5 months ago
Making computers look the way we look: exploiting visual attention for image understanding
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations ...
Harish Katti, Subramanian Ramanathan, Mohan S. Kan...
ICIP
2009
IEEE
13 years 2 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
MM
2009
ACM
177views Multimedia» more  MM 2009»
13 years 11 months ago
Perceptual quality assessment based on visual attention analysis
Most existing quality metrics do not take the human attention analysis into account. Attention to particular objects or regions is an important attribute of human vision and perce...
Junyong You, Andrew Perkis, Miska M. Hannuksela, M...