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» Image partial blur detection and classification
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CVPR
2008
IEEE
14 years 6 months ago
Image partial blur detection and classification
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur ty...
Renting Liu, Zhaorong Li, Jiaya Jia
CIVR
2004
Springer
248views Image Analysis» more  CIVR 2004»
13 years 8 months ago
Automated Person Identification in Video
Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...
Mark Everingham, Andrew Zisserman
CVPR
2009
IEEE
14 years 11 months ago
Histogram-based Interest Point Detectors
We present a new method for detecting interest points using histogram information. Unlike existing interest point detectors, which measure pixel-wise differences in image intens...
Wei-Ting Lee (National Tsing Hua University), Hwan...
CVPR
2008
IEEE
14 years 6 months ago
Finding people in archive films through tracking
The goal of this work is to find all people in archive films. Challenges include low image quality, motion blur, partial occlusion, non-standard poses and crowded scenes. We base ...
Xiaofeng Ren
ICCV
2005
IEEE
14 years 6 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman