DocumentCode :
3285238
Title :
Inlier modeling for multimedia data analysis
Author :
Dahyot, Rozenn ; Rea, Niall ; Kokaram, Anil ; Kingsbury, Nick
Author_Institution :
Dept. of Electron. & Electr. Eng., Trinity Coll., Dublin, Ireland
fYear :
2004
fDate :
29 Sept.-1 Oct. 2004
Firstpage :
482
Lastpage :
485
Abstract :
This paper presents a robust method to estimate the unknown standard deviation of a centred normal distribution from a mixture density. This method is applied to different signal processing problems. The first one concerns silence segmentation from audio data. The second application deals with colour class parameter extraction. In this later case, the mean is also estimated from the observations.
Keywords :
audio signal processing; multimedia communication; normal distribution; audio data segmentation; centred normal distribution; colour class parameter extraction; multimedia data analysis; signal processing; Data analysis; Distributed computing; Educational institutions; Gaussian distribution; Parameter estimation; Parameter extraction; Random variables; Robustness; Signal processing; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2004 IEEE 6th Workshop on
Print_ISBN :
0-7803-8578-0
Type :
conf
DOI :
10.1109/MMSP.2004.1436600
Filename :
1436600
Link To Document :
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