DocumentCode
3518384
Title
A parametric copula based framework for multimodal signal processing
Author
Iyengar, Satish G. ; Varshney, Pramod K. ; Damarla, Thyagaraju
Author_Institution
Dept. of EECS, Syracuse Univ., Syracuse, NY
fYear
2009
fDate
19-24 April 2009
Firstpage
1893
Lastpage
1896
Abstract
We present a framework for the joint processing of multimodal data such as audio-video data streams. We first consider the problem of estimating the joint distribution of statistically dependent multimodal random variables. We discuss the issues involved and provide a copula based solution. Application of this approach to solve a multisensor fusion problem for the detection of a random event is also discussed.
Keywords
sensor fusion; Copula theory; Kullback-Leibler distance; audio-video data streams; multimodal signal processing; multisensor fusion problem; parametric Copula; Acoustic sensors; Cameras; Parametric statistics; Probability distribution; Random variables; Signal processing; Statistical distributions; Streaming media; Video sharing; Zinc; Copula theory; Hypothesis testing; Kullback-Leibler distance; Multisensor fusion; Statistical dependence;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location
Taipei
ISSN
1520-6149
Print_ISBN
978-1-4244-2353-8
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2009.4959978
Filename
4959978
Link To Document