Soccer Video Edition Using a Multimodal Annotation
In this paper, we present an approach for soccer video
edition using a multimodal annotation. We propose to associate with
each video sequence of a soccer match a textual document to be used
for further exploitation like search, browsing and abstract edition.
The textual document contains video meta data, match meta data, and
match data. This document, generated automatically while the video
is analyzed, segmented and classified, can be enriched semi
automatically according to the user type and/or a specialized
recommendation system.
[1] http://www.chiariglione.org/mpeg/standards/mpeg-7/mpeg-7.htm
[2] Liu Huayong, Zhang Hui "The segmentation of news video into story
units" Lecture notes in computer science ISSN 0302-9743 Congrès
Advances in web-age information management : (6th international
conference, WAIM 2005, Hangzhou, China, October 11-13, 2005 )
ISBN 3-540-29227-6.
[3] E. Delakis « Structuration multimodale des vidéos de tennis en utilisant
les modèles segmentaux », Thèse de doctorat, Université de Rennes 1,
2006.
[4] Philippe Aigrain, Philippe Joly, "Automatic real-time analysis of film
editing and transition effects and its applications", Computer &
Graphics, 18(1), 1994, pp. 93-103
[5] G. S. Pingali, Y. Jean, and I. Carlbom, "Real Time Tracking for
Enhanced Tennis Brodcasts" Proc of IEEE CVPR (Computer Vision and
Pattern Recognition), pp.260-265, 1998.
[6] F. Sudhir, J. C. M. Lee and A. K. Jain, "Automatic classification of
tennis video forhigh -level content -based retrieval" in Proc. Int.
Workshop on Content-based Access of Image and Video Databases
(CAIVD-98),1998, PP.81-90.
[7] Peng Xu, Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Anthony Vetro,
Huifang Sun "Algorithms and System for System for Segmentation and
Structure Analysis in Soccer Video" IEEE International Conference on
Multimedia and Expo, Tokyo, Japan Aug 22-25, 2001.
[8] Ahmet Ekin and A. Murat Tekalp "A Framework for tracking and
analysis of soccer Video" Proc. VCIP 2002 (Visual Communications
and Image Processing). San Jose CA.
[9] Algorithms and Systems for Segmentation and Structure Analysis in
Soccer Video, IEEE International Conference on Multimedia and Expo,
Tokyo, Japan, Aug. 22-25, 2001 P. Xu, L. Xie, S.-F. Chang, A.
Divakaran, A. Vetro, H. Sun.
[10] Fendri E., Ben-Abdallah H., Ben Hamadou A. "FOCSE : A framework
for Soccer Video Edition" MediaNet 2004, Tozeur, Tunisie Dec. 2004.
[11] Fendri E, Warda S., Ben Abdallah H. "Nouvelles méthodes de détection
de transitions progressives dans la vidéo" SETIT, Sciences of
Electronics, Technologys of Information and Telecommunications
Sousse Tunisie, Mars 2003.
[12] http://www.info-3000.com/html/xml/dtd.php
[13] XML Schema Part 1: Structures Second Edition W3C Recommendation
28 October 2004, http://www.w3.org/TR/2004/REC-xmlschema-1-
20041028/
[1] http://www.chiariglione.org/mpeg/standards/mpeg-7/mpeg-7.htm
[2] Liu Huayong, Zhang Hui "The segmentation of news video into story
units" Lecture notes in computer science ISSN 0302-9743 Congrès
Advances in web-age information management : (6th international
conference, WAIM 2005, Hangzhou, China, October 11-13, 2005 )
ISBN 3-540-29227-6.
[3] E. Delakis « Structuration multimodale des vidéos de tennis en utilisant
les modèles segmentaux », Thèse de doctorat, Université de Rennes 1,
2006.
[4] Philippe Aigrain, Philippe Joly, "Automatic real-time analysis of film
editing and transition effects and its applications", Computer &
Graphics, 18(1), 1994, pp. 93-103
[5] G. S. Pingali, Y. Jean, and I. Carlbom, "Real Time Tracking for
Enhanced Tennis Brodcasts" Proc of IEEE CVPR (Computer Vision and
Pattern Recognition), pp.260-265, 1998.
[6] F. Sudhir, J. C. M. Lee and A. K. Jain, "Automatic classification of
tennis video forhigh -level content -based retrieval" in Proc. Int.
Workshop on Content-based Access of Image and Video Databases
(CAIVD-98),1998, PP.81-90.
[7] Peng Xu, Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Anthony Vetro,
Huifang Sun "Algorithms and System for System for Segmentation and
Structure Analysis in Soccer Video" IEEE International Conference on
Multimedia and Expo, Tokyo, Japan Aug 22-25, 2001.
[8] Ahmet Ekin and A. Murat Tekalp "A Framework for tracking and
analysis of soccer Video" Proc. VCIP 2002 (Visual Communications
and Image Processing). San Jose CA.
[9] Algorithms and Systems for Segmentation and Structure Analysis in
Soccer Video, IEEE International Conference on Multimedia and Expo,
Tokyo, Japan, Aug. 22-25, 2001 P. Xu, L. Xie, S.-F. Chang, A.
Divakaran, A. Vetro, H. Sun.
[10] Fendri E., Ben-Abdallah H., Ben Hamadou A. "FOCSE : A framework
for Soccer Video Edition" MediaNet 2004, Tozeur, Tunisie Dec. 2004.
[11] Fendri E, Warda S., Ben Abdallah H. "Nouvelles méthodes de détection
de transitions progressives dans la vidéo" SETIT, Sciences of
Electronics, Technologys of Information and Telecommunications
Sousse Tunisie, Mars 2003.
[12] http://www.info-3000.com/html/xml/dtd.php
[13] XML Schema Part 1: Structures Second Edition W3C Recommendation
28 October 2004, http://www.w3.org/TR/2004/REC-xmlschema-1-
20041028/
@article{"International Journal of Information, Control and Computer Sciences:55516", author = "Fendri Emna and Ben-Abdallah Hanêne and Ben-Hamadou Abdelmajid", title = "Soccer Video Edition Using a Multimodal Annotation", abstract = "In this paper, we present an approach for soccer video
edition using a multimodal annotation. We propose to associate with
each video sequence of a soccer match a textual document to be used
for further exploitation like search, browsing and abstract edition.
The textual document contains video meta data, match meta data, and
match data. This document, generated automatically while the video
is analyzed, segmented and classified, can be enriched semi
automatically according to the user type and/or a specialized
recommendation system.", keywords = "XML, Multimodal Annotation, recommendation
system.", volume = "2", number = "7", pages = "2395-5", }
