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» Flame detection method in video using covariance descriptors
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ICIP
2008
IEEE
15 years 11 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
ICPR
2006
IEEE
15 years 11 months ago
Improving human activity detection by combining multi-dimensional motion descriptors with boosting
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
Josef Kittler, Seiji Ishikawa, Takehito Ogata, Wil...
ACCV
2009
Springer
14 years 7 months ago
Human Action Recognition under Log-Euclidean Riemannian Metric
This paper presents a new action recognition approach based on local spatio-temporal features. The main contributions of our approach are twofold. First, a new local spatio-tempora...
Chunfeng Yuan, Weiming Hu, Xi Li, Stephen J. Mayba...
ECCV
2010
Springer
15 years 3 months ago
Compact video description for copy detection with precise temporal alignment
This paper introduces a very compact yet discriminative video description, which allows example-based search in a large number of frames corresponding to thousands of hours of vide...
PCM
2004
Springer
228views Multimedia» more  PCM 2004»
15 years 3 months ago
Automatic Video Genre Detection for Content-Based Authoring
In this paper, we propose a new video genre detection using semantic classification with multi-modal features. MPEG-7 audio-visual descriptors are used as multi-modal features. Fr...
Sung Ho Jin, Tae Meon Bae, Yong Man Ro