Presentation 2005-02-03
A Note on Soccer Video Indexing Using Neural Networks
Kouki TSUTSUMI, Miki HASEYAMA, Hideo KITAJIMA,
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Abstract(in English) For the soccer video indexing, long shots, which are mostly occupied by the soccer field, are frequently utilized. We have already proposed a method to detect the long shots by focusing on the occupancy rate of the soccer field, the size of the players included in the field, etc.. However, before using this method we have to appropriately set some thresholds depending on the data acquisition conditions, the soccer field conditions, etc., and they cannot be easily done. Therefore, in order to avoid this problem we propose a new detection method of the long shots by utilizing neural networks. The proposed method has the advantage that there is no need to set the thresholds manually and can detect the long shots more accurately than our conventional method does.
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Keyword(in English) soccer / long shot / indexing / neural networks / OCON
Paper # ITS2004-56,IE2004-190
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Committee ITS
Conference Date 2005/1/27(1days)
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Paper Information
Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on Soccer Video Indexing Using Neural Networks
Sub Title (in English)
Keyword(1) soccer
Keyword(2) long shot
Keyword(3) indexing
Keyword(4) neural networks
Keyword(5) OCON
1st Author's Name Kouki TSUTSUMI
1st Author's Affiliation School of Engineering, Hokkaido University()
2nd Author's Name Miki HASEYAMA
2nd Author's Affiliation School of Information Science and Technology, Hokkaido University
3rd Author's Name Hideo KITAJIMA
3rd Author's Affiliation School of Information Science and Technology, Hokkaido University
Date 2005-02-03
Paper # ITS2004-56,IE2004-190
Volume (vol) vol.104
Number (no) 646
Page pp.pp.-
#Pages 6
Date of Issue