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Audio-video based Segmentation and Classification using SVM and AANN

by K. Subashini, S. Palanivel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 18
Year of Publication: 2012
Authors: K. Subashini, S. Palanivel
10.5120/8525-2271

K. Subashini, S. Palanivel . Audio-video based Segmentation and Classification using SVM and AANN. International Journal of Computer Applications. 53, 18 ( September 2012), 43-49. DOI=10.5120/8525-2271

@article{ 10.5120/8525-2271,
author = { K. Subashini, S. Palanivel },
title = { Audio-video based Segmentation and Classification using SVM and AANN },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 18 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 43-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number18/8525-2271/ },
doi = { 10.5120/8525-2271 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:54:26.756493+05:30
%A K. Subashini
%A S. Palanivel
%T Audio-video based Segmentation and Classification using SVM and AANN
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 18
%P 43-49
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we propose a method for combining audio and video for segmentation and classification. The objective of segmentation is to detect the category change point such news to advertisement. The classification system classify the audio-video data into one of the predefined categories such as news, advertisement, sports, serial and movies. Mel frequency cepstral coefficients( MFCC) are used as acoustic features and color histogram is used as visual features for segmentation and classification. Support vector machine(SVM) and autoassociative neural network(AANN) models are used for segmentation and classification. The evidence from audio and video are combined using weighted sum rule for both segmentation and classifications.

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Index Terms

Computer Science
Information Sciences

Keywords

Support vector machines(SVM) Auto associative neural network( AANN) Mel frequency cepstral coefficients Color histogram Audio and video segmentation Audio and video classification Weighted sum rule

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