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» Combined visual attention model for video sequences
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CHI
2006
ACM
14 years 9 months ago
Quantifying interpersonal influence in face-to-face conversations based on visual attention patterns
A novel measure for automatically quantifying the amount of interpersonal influence present in face-toface conversations is proposed based on the visualattention patterns of the p...
Kazuhiro Otsuka, Junji Yamato, Yoshinao Takemae, H...
VISUAL
1999
Springer
14 years 24 days ago
From Gaze to Focus of Attention
Identifying human gaze or eye-movement ultimately serves the purpose of identifying an individual’s focus of attention. The knowledge of a person’s object of interest helps us...
Rainer Stiefelhagen, Michael Finke, Jie Yang, Alex...
IV
1999
IEEE
133views Visualization» more  IV 1999»
14 years 25 days ago
A Robust Image Mosaicing Technique Capable of Creating Integrated Panoramas
Existing featureless image mosaicing techniques do not pay enough attention to the robustness of the image registration process, and are not able to combine multiple video sequenc...
Yihong Gong, Guido Proietti, David LaRose
MM
2009
ACM
177views Multimedia» more  MM 2009»
14 years 3 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...
ICASSP
2011
IEEE
13 years 8 days 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...