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328
Voted
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...
CVPR
2005
IEEE
16 years 3 months ago
Learning Spatiotemporal T-Junctions for Occlusion Detection
The goal of motion segmentation and layer extraction can be viewed as the detection and localization of occluding surfaces. A feature that has been shown to be a particularly stro...
Nicholas Apostoloff, Andrew W. Fitzgibbon
93
Voted
CVPR
2006
IEEE
16 years 3 months ago
Modeling and Classifying Breast Tissue Density in Mammograms
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsu...
Anna Bosch, Arnau Oliver, Joan Martí, Xavie...
ICIP
2008
IEEE
16 years 3 months ago
Using sensor pattern noise for camera model identification
Sensor photo-response non-uniformity (PRNU) was introduced by Luk?as et al. [1] to solve the problem of digital camera sensor identification. The PRNU is the main component of a c...
Jessica J. Fridrich, Miroslav Goljan, Tomás...
ICIP
2006
IEEE
16 years 3 months ago
Automatic Video Genre Categorization using Hierarchical SVM
This paper presents an automatic video genre categorization scheme based on the hierarchical ontology on video genres. Ten computable spatio-temporal features are extracted to dis...
Xun Yuan, Wei Lai, Tao Mei, Xian-Sheng Hua, Xiuqin...