| Project/Area Number |
11480087
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | Osaka University |
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Principal Investigator |
BABAGUCHI Noboru Osaka University, Institute of Scientific and Industrial Research, Associate Professor, 産業科学研究所, 助教授 (30156541)
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| Co-Investigator(Kenkyū-buntansha) |
SHIBATA Fumihisa Osaka University, Institute of Scientific and Industrial Research, Research Associate, 産業科学研究所, 助手 (80314425)
OHARA Kouzou Osaka University, Institute of Scientific and Industrial Research, Research Associate, 産業科学研究所, 助手 (30294127)
KITAHASHI Tadahiro Osaka University, Institute of Scientific and Industrial Research, Professor, 産業科学研究所, 教授 (70029453)
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| Project Period (FY) |
1999 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥13,900,000 (Direct Cost: ¥13,900,000)
Fiscal Year 2001: ¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 2000: ¥3,800,000 (Direct Cost: ¥3,800,000)
Fiscal Year 1999: ¥7,700,000 (Direct Cost: ¥7,700,000)
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| Keywords | Continuous Media / Video Stream / Multimedia / Organization / Intermodal Collaboration / Video Abstraction / Content Analysis / Event Based Video Indexing / 内容解析 / イベント検出 / 内容に基づくインデキシング |
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| Research Abstract |
The goal of this research project is as follows: (1) to develop contents analysis method of continuous media such as video streams consisting of visual, auditory, textual and graphical streams, by means of intermodal collaboration that means collaborative analysis of each video stream, (2) to make the domain knowledge base to facilitate the contents analysis, and (3) to design a scheme of network based media organization called an event net. The major results of this research are classified into three issues.
1. Video indexing and annotation by intermodal collaboration
To automatically produce nodes of the event net, we embodied a couple of contents analysis methods by intermodal collaboration. In particular, event based indexing for broadcasted sports video and semantical annotation in terms of players and actions were developed by considering the correspondence between multimodal streams. We verified that intermodal collaboration outperforms single stream analysis with respect to efficiency and reliability.
2. Media organization based on relations between events
We considered approaches to analysis of relations of events that correspond to nodes of the event net. Specifically, we proposed a method of linking live and replay scenes in the broadcasted sports video, focusing on identical and similar relations.
3. Application of media organization: video abstraction and video portal
By extracting highlight events from the event net, highlight based video abstraction method was pro- posed. The experimental results demonstrated that an hour-length video can be compressed into a minute-length personalized abstract. In addition, we constructed video portal that is a tool to support our access to a multimedia space as an application of media organization.
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