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Reseach Article

Lawn Tennis Video Summarization based on Audiovisual and Text Feature Analysis

by Sudhir S. Kanade, Pradeep M. Patil
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 19
Year of Publication: 2012
Authors: Sudhir S. Kanade, Pradeep M. Patil
10.5120/5803-8126

Sudhir S. Kanade, Pradeep M. Patil . Lawn Tennis Video Summarization based on Audiovisual and Text Feature Analysis. International Journal of Computer Applications. 42, 19 ( March 2012), 28-35. DOI=10.5120/5803-8126

@article{ 10.5120/5803-8126,
author = { Sudhir S. Kanade, Pradeep M. Patil },
title = { Lawn Tennis Video Summarization based on Audiovisual and Text Feature Analysis },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 19 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number19/5803-8126/ },
doi = { 10.5120/5803-8126 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:45.601698+05:30
%A Sudhir S. Kanade
%A Pradeep M. Patil
%T Lawn Tennis Video Summarization based on Audiovisual and Text Feature Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 19
%P 28-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a new video summarization approach for lawn tennis video is presented. The proposed method uses frame color histogram to classify video into play field color shots (PFCS) and non play field color shots (NPFCS). Play field color shots are the segments of interest and used to recognize the tournament class. A dominant colored frame from every PFCS is extracted as a salient frame. Our approach also employs dominant value of PFCS volume and energy. For the each PFCS dominant audio energy value is computed and corresponding key frame is extracted. On-screen text presented in play field color shots provides important semantic information so the last frame of the shot is extracted as key caption. Three key frames based on audio, visual and text information conveyed in every PFCS are extracted and summary of lawn tennis video is created. These key frames of every PFCS serve as accurate localization of the events on the lawn tennis field. Experiments are performed on lawn tennis videos to confirm the efficiency of the proposed method.

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Index Terms

Computer Science
Information Sciences

Keywords

Shot Classification Color Histogram Key Frame Play Field Color Shots Non Play Field Color Shots Video Summarization