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Nonparametric Video Retrieval and Frame Classification using Tiny Videos

Published on April 2012 by A. K. M. Shanawas Fathima, R. Kanthavel
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International Conference in Recent trends in Computational Methods, Communication and Controls
Foundation of Computer Science USA
ICON3C - Number 3
April 2012
Authors: A. K. M. Shanawas Fathima, R. Kanthavel
375479b4-782b-4df9-8f9f-51e3d11ef72d

A. K. M. Shanawas Fathima, R. Kanthavel . Nonparametric Video Retrieval and Frame Classification using Tiny Videos. International Conference in Recent trends in Computational Methods, Communication and Controls. ICON3C, 3 (April 2012), 36-40.

@article{
author = { A. K. M. Shanawas Fathima, R. Kanthavel },
title = { Nonparametric Video Retrieval and Frame Classification using Tiny Videos },
journal = { International Conference in Recent trends in Computational Methods, Communication and Controls },
issue_date = { April 2012 },
volume = { ICON3C },
number = { 3 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 36-40 },
numpages = 5,
url = { /proceedings/icon3c/number3/6023-1024/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Recent trends in Computational Methods, Communication and Controls
%A A. K. M. Shanawas Fathima
%A R. Kanthavel
%T Nonparametric Video Retrieval and Frame Classification using Tiny Videos
%J International Conference in Recent trends in Computational Methods, Communication and Controls
%@ 0975-8887
%V ICON3C
%N 3
%P 36-40
%D 2012
%I International Journal of Computer Applications
Abstract

A nonparametric video retrieval and frame classification systm that uses affinity propagation algorithm is proposed. The main goal of the proposed system is to develop "tiny video" that achieves high video compression rates while retaining the overall visual appearance of video. The proposed video retrieval system utilizes the strengths of affinity propagation algorithm that uses exemplar based clustering to achieve a trade off between compression and video recall. By using this large collection of user labelled videos in conjunction with simple data mining techniques to perform related video retrieval, as well as classification of images and video frames. The main applications of this proposed system is video copy detection and video recognotion

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Classification Content-based Retrieval Tiny Videos Tiny Images Data Mining Nearest-neighbor Methods