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APGV
2008
ACM
193views Visualization» more  APGV 2008»
13 years 10 months ago
Probing dynamic human facial action recognition from the other side of the mean
Insights from human perception of moving faces have the potential to provide interesting insights for technical animation systems as well as in the neural encoding of facial expre...
Cristóbal Curio, Martin A. Giese, Martin Br...
ETRA
2008
ACM
235views Biometrics» more  ETRA 2008»
13 years 10 months ago
Using semantic content as cues for better scanpath prediction
Under natural viewing conditions, human observers use shifts in gaze to allocate processing resources to subsets of the visual input. There are many computational models that try ...
Moran Cerf, E. Paxon Frady, Christof Koch
WAPCV
2007
Springer
14 years 2 months ago
Reinforcement Learning for Decision Making in Sequential Visual Attention
The innovation of this work is the provision of a system that learns visual encodings of attention patterns and that enables sequential attention for object detection in real world...
Lucas Paletta, Gerald Fritz
ICIP
2003
IEEE
14 years 10 months ago
Top-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to faci...
Aude Oliva, Antonio B. Torralba, Monica S. Castelh...
WWW
2010
ACM
14 years 2 months ago
What are the most eye-catching and ear-catching features in the video?: implications for video summarization
Video summarization is a mechanism for generating short summaries of the video to help people quickly make sense of the content of the video before downloading or seeking more det...
Yaxiao Song, Gary Marchionini, Chi Young Oh