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» Salient Feature Selection for Visual Concept Learning
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ICASSP
2011
IEEE
12 years 11 months 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...
CIVR
2004
Springer
250views Image Analysis» more  CIVR 2004»
14 years 23 days ago
Salient Regions for Query by Image Content
Abstract. Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insuffi...
Jonathon S. Hare, Paul H. Lewis
SOCRATES
2008
100views Education» more  SOCRATES 2008»
13 years 8 months ago
Quality in eLearning. Some Results from a National Research Program
Quality is an open concept. Something has a good quality when the most salient of its characteristics have a positive value. What are this relevant features? It depends on the int...
Patrizia Ghislandi, Anna Pedroni, Daniela Paolino,...
ICPR
2006
IEEE
14 years 8 months ago
Pay Attention When Selecting Features
In this paper, we propose a new, hierarchical approach to landmark selection for simultaneous robot localization and mapping based on visual sensors: a biologically motivated atte...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
TMM
2010
115views Management» more  TMM 2010»
13 years 2 months ago
Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study
Based on the local keypoints extracted as salient image patches, an image can be described as a "bag-of-visualwords (BoW)" and this representation has appeared promising ...
Yu-Gang Jiang, Jun Yang 0003, Chong-Wah Ngo, Alexa...