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