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» Boosting Object Detection Using Feature Selection
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CVPR
2004
IEEE
15 years 6 months ago
A Probabilistic Approach to Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues
Automatic image orientation detection for natural images is a useful, yet challenging research area. Humans use scene context and semantic object recognition to identify the corre...
Jiebo Luo, Matthew R. Boutell
AVSS
2009
IEEE
15 years 9 months ago
Towards Generic Detection of Unusual Events in Video Surveillance
—In this paper, we consider the challenging problem of unusual event detection in video surveillance systems. The proposed approach makes a step toward generic and automatic dete...
Ivan Ivanov, Frédéric Dufaux, Thien ...
ECAL
2007
Springer
15 years 8 months ago
Multi-level Selection in the Emergence of Language Systematicity
Language can be viewed as a complex adaptive system which is continuously shaped and reshaped by the actions of its users as they try to solve communicative problems. To maintain c...
Luc Steels, Remi van Trijp, Pieter Wellens
120
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Exposing duplicated regions affected by reflection, rotation and scaling
A commonly considered image manipulation is to conceal undesirable objects or people in the scene with a region of pixels copied from the same image. Forensic mechanisms aimed at ...
Sergio Bravo-Solorio, Asoke K. Nandi
139
Voted
CVPR
2009
IEEE
16 years 8 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...