News Topic Tracking and Summarization Based on Video Duplicate Detection
| Project/Area Number |
20800070
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| Research Category |
Grant-in-Aid for Young Scientists (Start-up)
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| Allocation Type | Single-year Grants |
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| Research Field |
Media informatics/Database
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
WU Xiaomeng National Institute of Informatics, コンテンツ科学研究系, 特任研究員 (20462179)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
|
| Budget Amount *help |
¥3,289,000 (Direct Cost: ¥2,530,000、Indirect Cost: ¥759,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2008: ¥1,729,000 (Direct Cost: ¥1,330,000、Indirect Cost: ¥399,000)
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| Keywords | 情報システム / 画像 / 文章 / 音声等認識 / 画像、文章、音声等認識 |
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| Research Abstract |
In this project, a novel technique is proposed to detect video duplicates (i.e. video segments with the same file footage, scene, background, object, etc.) from a large-scale broadcast video database. This technique is invariant to the viewpoint of cameras. Based on the assumption that video-duplicate constraints normally guarantee a higher relevance quality than textual constraints, an effective and higher-level news topic tracking and summarization technique is proposed by integrating both visual information and textual information.
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Report
(3 results)
Research Products
(11 results)
