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» Learning Object Shape: From Drawings to Images
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ICCV
2009
IEEE
16 years 4 months ago
Decomposing a Scene into Geometric and Semantically Consistent Regions
High-level, or holistic, scene understanding involves reasoning about objects, regions, and the 3D relationships between them. This requires a representation above the level of ...
Stephen Gould, Richard Fulton, Daphne Koller
113
Voted
ICMCS
2007
IEEE
155views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Hidden Maximum Entropy Approach for Visual Concept Modeling
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
92
Voted
ICIP
2010
IEEE
14 years 9 months ago
Compact visual codebook for action recognition
Visual codebook has been popular in object classification as well as action analysis. However, its performance is often sensitive to the codebook size that is usually predefined. ...
Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Ha...
ICIAR
2010
Springer
15 years 4 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
106
Voted
EUROSYS
2006
ACM
15 years 8 months ago
Ferret: a toolkit for content-based similarity search of feature-rich data
Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are in...
Qin Lv, William Josephson, Zhe Wang, Moses Charika...