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» Detecting Irregularities in Images and in Video
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CVPR
2010
IEEE
13 years 9 months ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot
ICIP
2005
IEEE
14 years 10 months ago
Misregistration errors in change detection algorithms and how to avoid them
Background subtraction is a popular algorithm for video object segmentation. It identifies foreground objects by comparing the input images with a pure background image. In camera...
Dirk Farin, Peter H. N. de With
ICIP
2006
IEEE
14 years 10 months ago
Content Extraction and Summarization of Instructional Videos
This paper presents a robust approach to extracting and summarizing the textual content of instructional videos for handwritten recognition, indexing and retrieval, and other elea...
Tiecheng Liu, Chekuri Choudary
ICIP
2000
IEEE
14 years 10 months ago
Integrating Visual, Audio and Text Analysis for News Video
In this paper, we present a system developed for content-based broadcasted news video browsing for home users. There are three main factors that distinguish our work from other si...
Wei Qi, Lie Gu, Hao Jiang, Xiang-Rong Chen, HongJi...
ICIP
2006
IEEE
14 years 10 months ago
A Boosted Adaptive Particle Filter for Face Detection and Tracking
A novel algorithm, termed a Boosted Adaptive Particle Filter (BAPF), for integrated face detection and face tracking is proposed. The proposed algorithm is based on the synthesis ...
Wenlong Zheng, Suchendra M. Bhandarkar