Shot Classification in Broadcast Soccer Video
In this paper, we present an effective hierarchical shot classification scheme for broadcast soccer video. We first partition a video into replay and non-replay shots with replay logo detection. Then, non-replay shots are further classified into Long, Medium, Close-up or Out-field types with color a...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Computer Vision Center Press
2008-11-01
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Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
Subjects: | |
Online Access: | https://elcvia.cvc.uab.es/article/view/270 |
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author | Xiaofeng Tong Qingshan Liu Hanqing Lu |
author_facet | Xiaofeng Tong Qingshan Liu Hanqing Lu |
author_sort | Xiaofeng Tong |
collection | DOAJ |
description | In this paper, we present an effective hierarchical shot classification scheme for broadcast soccer video. We first partition a video into replay and non-replay shots with replay logo detection. Then, non-replay shots are further classified into Long, Medium, Close-up or Out-field types with color and texture features based on a decision tree. We tested the method on real broadcast FIFA soccer videos, and the experimental results demonstrate its effectiveness.. |
first_indexed | 2024-12-22T06:52:01Z |
format | Article |
id | doaj.art-0eb42dff8efb44f981df1b811e76e851 |
institution | Directory Open Access Journal |
issn | 1577-5097 |
language | English |
last_indexed | 2024-12-22T06:52:01Z |
publishDate | 2008-11-01 |
publisher | Computer Vision Center Press |
record_format | Article |
series | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
spelling | doaj.art-0eb42dff8efb44f981df1b811e76e8512022-12-21T18:35:06ZengComputer Vision Center PressELCVIA Electronic Letters on Computer Vision and Image Analysis1577-50972008-11-017110.5565/rev/elcvia.270132Shot Classification in Broadcast Soccer VideoXiaofeng TongQingshan LiuHanqing LuIn this paper, we present an effective hierarchical shot classification scheme for broadcast soccer video. We first partition a video into replay and non-replay shots with replay logo detection. Then, non-replay shots are further classified into Long, Medium, Close-up or Out-field types with color and texture features based on a decision tree. We tested the method on real broadcast FIFA soccer videos, and the experimental results demonstrate its effectiveness..https://elcvia.cvc.uab.es/article/view/270Shot classificationReplay detectionSports video |
spellingShingle | Xiaofeng Tong Qingshan Liu Hanqing Lu Shot Classification in Broadcast Soccer Video ELCVIA Electronic Letters on Computer Vision and Image Analysis Shot classification Replay detection Sports video |
title | Shot Classification in Broadcast Soccer Video |
title_full | Shot Classification in Broadcast Soccer Video |
title_fullStr | Shot Classification in Broadcast Soccer Video |
title_full_unstemmed | Shot Classification in Broadcast Soccer Video |
title_short | Shot Classification in Broadcast Soccer Video |
title_sort | shot classification in broadcast soccer video |
topic | Shot classification Replay detection Sports video |
url | https://elcvia.cvc.uab.es/article/view/270 |
work_keys_str_mv | AT xiaofengtong shotclassificationinbroadcastsoccervideo AT qingshanliu shotclassificationinbroadcastsoccervideo AT hanqinglu shotclassificationinbroadcastsoccervideo |