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» Detecting Irregularities in Images and in Video
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ICIP
2002
IEEE
16 years 7 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...
ICIP
2002
IEEE
16 years 7 months ago
Perceived quality metrics for low bit rate compressed video
This paper presents an objective metric for the perceived quality of low bit rate compressed video. Frames are decomposed into several frequency bands at multiple scales and a mot...
Mark Masry, Sheila S. Hemami
ICIP
2008
IEEE
16 years 8 months ago
Robust video fingerprinting based on 2D-OPCA of affine covariant regions
This paper proposes a robust video fingerprinting method based on 2-Dimensional Oriented Principal Component Analysis (2D-OPCA) of affine covariant regions. The goal of video fing...
Chang Dong Yoo, Sunil Lee
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Video Mining with Frequent Itemset Configurations
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
Till Quack, Vittorio Ferrari, Luc J. Van Gool
ICIP
2007
IEEE
16 years 8 months ago
Finding Regions of Interest in Home Videos Based on Camera Motion
In this paper, we propose an algorithm for identifying regions of interest (ROIs) in video, particularly for the keyframes extracted from a home video. The camera motion is introd...
Golnaz Abdollahian, Edward J. Delp