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» Feature Selection for Automatic Image Annotation
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CVPR
2007
IEEE
16 years 4 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
173
Voted
IVC
2006
259views more  IVC 2006»
15 years 2 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
111
Voted
MM
2010
ACM
174views Multimedia» more  MM 2010»
15 years 2 months ago
Personalized photograph ranking and selection system
In this paper, we propose a novel personalized ranking system for amateur photographs. Although some of the features used in our system are similar to previous work, new features,...
Che-Hua Yeh, Yuan-Chen Ho, Brian A. Barsky, Ming O...
273
Voted
ICDAR
2011
IEEE
14 years 2 months ago
Non-rigid Registration and Restoration of Double-Sided Historical Manuscripts
This paper presents a fully automatic framework for the restoration of double-sided historical manuscripts which are impaired by ink bleed-through distortions. First, the recto si...
Jie Wang, Chew Lim Tan
140
Voted
MMS
2008
15 years 2 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu