Research on Automatic Video indexing System Using Adjacent PixelIntensity Difference Quantization
| Project/Area Number |
20700074
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Media informatics/Database
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| Research Institution | Tohoku University |
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Principal Investigator |
LEE Feifei Tohoku University, 未来科学技術共同研究センター, 助教 (70451549)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
|
| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | マルチメディア / データベース / ビデオインデキシング / 差分量子化 / 顔認識 / 高速探索 |
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| Research Abstract |
Video indexing has become an active area of research in recent years because video content becomes commonplace on the web and the size of video database quickly increases due to rapid developments of internet connection and disk storage technology. In this research, we sought to develop an automatic video indexing system for large video database. The adjacent pixel intensity difference quantization (APIDQ) histogram is used as the feature vector in this algorithm. Experimental results show the proposed algorithm can detect the similar video clip more accurately and robust against Gaussian noise than conventional fast video search algorithm.
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Report
(3 results)
Research Products
(24 results)
