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Shot Type and Replay Detection for Soccer Video Parsing
https://ipsj.ixsq.nii.ac.jp/records/82848
https://ipsj.ixsq.nii.ac.jp/records/82848d6e9f32c-3277-447e-b13e-07516ab757b4
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-HCI12149004.pdf (530.6 kB)
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Copyright (c) 2012 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | SIG Technical Reports(1) | |||||||
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| 公開日 | 2012-07-12 | |||||||
| タイトル | ||||||||
| タイトル | Shot Type and Replay Detection for Soccer Video Parsing | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Shot Type and Replay Detection for Soccer Video Parsing | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | 創作支援 | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| University of Information Science-Japan Advanced Institute of Science and Technology | ||||||||
| 著者所属 | ||||||||
| University of Information Science-Japan Advanced Institute of Science and Technology | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| University of Information Science-Japan Advanced Institute of Science and Technology | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| University of Information Science-Japan Advanced Institute of Science and Technology | ||||||||
| 著者名 |
Ngoc, Nguyen
× Ngoc, Nguyen
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| 著者名(英) |
Ngoc, Nguyen
× Ngoc, Nguyen
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Parsing the structure of soccer video plays an important role in semantic analysis of soccer video. In this paper, we present a method to detect shot type based on the size of players. Besides, replay detection algorithm based on logo image recognition also proposed. First, the candidate logo images are selected based on contrast image and histogram difference. From candidate logo images, the contrast logo template is calculated. Logo images are found by comparing the similarity between the contrast images of candidate logo images and the contrast logo template. Finally, the replay is detected by pairing the logos and finding the beginning and the end of logo transition. Experiments on three soccer matches showed that our method is effective for soccer videos. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Parsing the structure of soccer video plays an important role in semantic analysis of soccer video. In this paper, we present a method to detect shot type based on the size of players. Besides, replay detection algorithm based on logo image recognition also proposed. First, the candidate logo images are selected based on contrast image and histogram difference. From candidate logo images, the contrast logo template is calculated. Logo images are found by comparing the similarity between the contrast images of candidate logo images and the contrast logo template. Finally, the replay is detected by pairing the logos and finding the beginning and the end of logo transition. Experiments on three soccer matches showed that our method is effective for soccer videos. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA1221543X | |||||||
| 書誌情報 |
研究報告ヒューマンコンピュータインタラクション（HCI） 巻 2012-HCI-149, 号 4, p. 1-5, 発行日 2012-07-12 |
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| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
