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» Efficient video mosaicing based on motion analysis
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ICASSP
2010
IEEE
13 years 6 months ago
On-the-fly video genre classification by combination of audio features
Video genre identification methods are frequently based on image or motion analysis, which are relatively timeconsuming processes. Since such approaches are tractable by batch pro...
Mickael Rouvier, Georges Linares, Driss Matrouf
CVPR
2007
IEEE
14 years 10 months ago
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
Liang Wang, David Suter
CVPR
2000
IEEE
14 years 10 months ago
Spatio-Temporal Analysis of Omni Image
This paper describes an efficient method to obtain 3D information by using spatio-temporal analysis of omni images for outdoor navigation and map-making in the intelligent transpo...
Hiroshi Kawasaki, Katsushi Ikeuchi, Masao Sakauchi
ICMCS
2009
IEEE
166views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Video text detection based on filters and edge features
Text detection plays a vital role in retrieving and browsing video data efficiently and accurately. In this paper, we propose a method for detecting both graphics and scene text i...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...
TCSV
2008
177views more  TCSV 2008»
13 years 8 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang