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ECCV
2008
Springer
14 years 9 months ago
Image Feature Extraction Using Gradient Local Auto-Correlations
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
Takumi Kobayashi, Nobuyuki Otsu
CVPR
2009
IEEE
15 years 2 months ago
SIFT-Rank: Ordinal Description for Invariant Feature Correspondence
This paper investigates ordinal image description for invariant feature correspondence. Ordinal description is a meta-technique which considers image measurements in terms of th...
Matthew Toews, William M. Wells III
CIVR
2005
Springer
205views Image Analysis» more  CIVR 2005»
14 years 28 days ago
Automatic Image Semantic Annotation Based on Image-Keyword Document Model
Abstract. This paper presents a novel method of automatic image semantic annotation. Our approach is based on the Image-Keyword Document Model (IKDM) with image features discretiza...
Xiangdong Zhou, Lian Chen, Jianye Ye, Qi Zhang, Ba...
IJDAR
2008
136views more  IJDAR 2008»
13 years 7 months ago
Matching word images for content-based retrieval from printed document images
As large quantity of document images is getting archived by the digital libraries, there is a need for an efficient search strategies to make them available as per users informatio...
Million Meshesha, C. V. Jawahar
ICCV
2007
IEEE
14 years 9 months ago
How Good are Local Features for Classes of Geometric Objects
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Michael Stark, Bernt Schiele