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ICMCS
2005
IEEE
114views Multimedia» more  ICMCS 2005»
14 years 1 months ago
On the surplus value of semantic video analysis beyond the key frame
Typical semantic video analysis methods aim for classification of camera shots based on extracted features from a single key frame only. In this paper, we sketch a video analysis...
Cees G. M. Snoek, Marcel Worring, Jan-Mark Geusebr...
TCSV
2008
177views more  TCSV 2008»
13 years 7 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
APCCM
2009
13 years 8 months ago
Extracting Conceptual Graphs from Japanese Documents for Software Requirements Modeling
A requirements analysis step plays a significant role on the development of information systems, and in this step we various kinds of abstract models of the systems (called requir...
Ryo Hasegawa, Motohiro Kitamura, Haruhiko Kaiya, M...
ICPR
2006
IEEE
14 years 8 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang
ICPR
2010
IEEE
13 years 9 months ago
Compressing Sparse Feature Vectors Using Random Ortho-Projections
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Esa Rahtu, Mikko Salo, Janne Heikkilä