| Project/Area Number |
24500110
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
OTA Takahiro 長野県工科短期大学校, 情報技術科, 准教授 (60579001)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 反辞書 / オートマトン / 確率モデル / MPEG2 / シーン検出 / ビデオ解析 / 二次元反辞書 / シーン検索 / ２次元パターン / MPEG2/4 / マクロブロックタイプ / カット点検出 / イベントシーン検出 / 極小禁止語 / シーン解析 / 反辞書木 / 反辞書配列 / マクロブロックパターン / MPEG4/H.264 |
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| Outline of Final Research Achievements |
We propose a method for analyzing video scenes directly from MPEG compressed video data without decoding it to pixel domains, and apply it to football programs to detect highlight-event scenes like corner kicks or goal shots. The proposed method achieves 86 % recall rate and 90 % precision rate in our experiments. In the proposed method, the information of macro block type (MBT) which indicates which type of coding methods is used for encoding each macroblock in a video frame, plays an important role. As a useful tool to analyze MBT pattern which is an array of MBT's in a frame, we propose a two dimensional antidictionary coding method. A two dimensional antidictionary of a given pattern P is a set of minimum forbidden pattern which does not appear in P but whose sub-patterns appear in P. In this research, we establish a method for construction a two dimensional antidictionary and consider applying it to video analysis.
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