Automatic Pitching Scene Archiving System for Video Indexing Support
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- SHONO Yuki
- Course of Electorical Engineering, Graduate School of Engineering, Shibaura Institute of Technology
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- AOKI Yoshimitsu
- Course of Electorical Engineering, Graduate School of Engineering, Shibaura Institute of Technology
Bibliographic Information
- Other Title
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- 映像タグ付け支援を目的とした投球シーン自動アーカイブシステムの提案
- エイゾウ タグ ヅケ シエン オ モクテキ ト シタ トウキュウ シーン ジドウ アーカイブ システム ノ テイアン
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Abstract
Content-based scene indexing has been important technique for effective video contents handling such as scene retrieval and editing. Standard multimedia content descriptor (MPEG7) has been proposed for key scene indexing. As for automatic scene indexing, audio-visual features are most important clues. Many methods have been proposed for effective scene indexing based on those features. In this paper, we propose an automatic key scene detection method for baseball video contents using video features. We regard pitching scenes as key scenes, because they are starting points of all baseball play scenes. If the pitching scenes are detected, they could be effective hints to detect other scenes. In addition, pitching scene digest video can be easily edited by gathering automatically extracted scenes. The pitching scene digest can be useful data for pitching analysis. We extract pitching scenes using color, domain and motion template created from manually selected pitching scene samples. Those templates contain image features unique to pitching scenes. Template matching is applied to video stream, so that target scenes can be detected by judging calculated matching rate. We experimentally test our method for actual baseball video contents for the purpose of automatic pitching digest (Pitch By Pitch) creation.<br>
Journal
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- The Journal of the Institute of Image Electronics Engineers of Japan
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The Journal of the Institute of Image Electronics Engineers of Japan 33 (5), 729-736, 2004
The Institute of Image Electronics Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204612243200
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- NII Article ID
- 130004437480
- 10013667309
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- NII Book ID
- AN00041650
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- ISSN
- 13480316
- 02859831
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- NDL BIB ID
- 7119185
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed