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- INOUE Satoshi
- Graduate School of Natural Science and Technology, Kanazawa University
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- IMAMURA Kousuke
- Graduate School of Natural Science and Technology, Kanazawa University
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- HASHIMOTO Hideo
- Graduate School of Natural Science and Technology, Kanazawa University
Bibliographic Information
- Other Title
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- アフィンパラメータのロバスト性を考慮したクラスタリングによる動領域分割
- アフィンパラメータ ノ ロバストセイ オ コウリョ シタ クラスタリング ニ ヨル ドウ リョウイキ ブンカツ
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Abstract
In recent years, moving-objects segmentation which devides video sequences into a meaningful domains is employed as pre-processing in the object base coding system such as MPEG-4 or MPEG-7. In this paper, motion detection accuracy is improved in considering the robustness of affine parameters, in order to improve in moving-objects segmentation.
Journal
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- Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan
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Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan 05-02 (0), 49-54, 2005
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
- 1390001205598966144
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- NII Article ID
- 130005441732
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- NII Book ID
- AN00348041
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- ISSN
- 02853957
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- NDL BIB ID
- 7698774
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed