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WAPCV
2007
Springer
13 years 11 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
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...
ARVLSI
1999
IEEE
162views VLSI» more  ARVLSI 1999»
13 years 9 months ago
Conjunction Search Using a 1-D, Analog VLSI-based, Attentional Search/Tracking Chip
The ability of animals to select a limited region of sensory space for scrutiny is an important factor in dealing with cluttered or complex sensory environments. Such an attention...
Timothy K. Horiuchi, Ernst Niebur
MM
2005
ACM
178views Multimedia» more  MM 2005»
13 years 10 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
WAPCV
2004
Springer
13 years 10 months ago
Visual Attention for Object Recognition in Spatial 3D Data
In this paper, we present a new recognition system for the fast detection and classification of objects in spatial 3D data. The system consists of two main components: A biologic...
Simone Frintrop, Andreas Nüchter, Hartmut Sur...