DocumentCode :
3268598
Title :
An intelligent classif ication algorithm for LifeLog multimedia applications
Author :
Bae, Changseok ; Chung, Yuk Ying ; Shukran, Mohd Afizi Mohd ; Choi, Eric ; Yeh, Wei-Chang
Author_Institution :
Post-PC Res. Group, ETRI, Daejeon
fYear :
2008
fDate :
8-10 Oct. 2008
Firstpage :
558
Lastpage :
562
Abstract :
LifeLog can be used as a stand-alone consumer device to serve as a powerful automated multimedia diary and scrapbook. By using a search engine interface, the user can easily retrieval a specific thread of past transactions, or recall a few seconds ago or from many years earlier in as much detail as is desired, including imagery , audio, or video event. In this paper, we have studied and implemented three audio classification algorithms. The testing results show that KNN is the best classifier to classify the multimedia data.
Keywords :
audio signal processing; multimedia communication; LifeLog; audio classification algorithms; automated multimedia diary; automated multimedia scrapbook; intelligent classification algorithm; stand-alone consumer device; Classification algorithms; Classification tree analysis; Decision trees; Feature extraction; Mel frequency cepstral coefficient; Multimedia systems; Search engines; Support vector machine classification; Support vector machines; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2008 IEEE 10th Workshop on
Conference_Location :
Cairns, Qld
Print_ISBN :
978-1-4244-2294-4
Electronic_ISBN :
978-1-4244-2295-1
Type :
conf
DOI :
10.1109/MMSP.2008.4665140
Filename :
4665140
Link To Document :
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