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Bits Truncation Adaptive Pyramid Algorithm for Motion Estimation of MPEG2 (Special Section on Digital Signal Processing)
https://sucra.repo.nii.ac.jp/records/14345
https://sucra.repo.nii.ac.jp/records/1434501b5c734-1b69-48e1-9c3e-a41623611318
名前 / ファイル | ライセンス | アクション |
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A1003002.pdf (669.7 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2008-01-30 | |||||
タイトル | ||||||
タイトル | Bits Truncation Adaptive Pyramid Algorithm for Motion Estimation of MPEG2 (Special Section on Digital Signal Processing) | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | bits truncation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | adaptive | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | pyramid | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | motion estimation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | MPEG2 | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
伊藤, 和人
× 伊藤, 和人 |
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著者 ローマ字 | ||||||
ITO, Kazuhito | ||||||
著者 ローマ字 | ||||||
JIANG, Li | ||||||
著者 ローマ字 | ||||||
KUNIEDA, Hiroaki | ||||||
著者 所属 | ||||||
埼玉大学情報機構情報メディア基盤センター学術情報処理研究開発部門 | ||||||
著者 所属(別言語) | ||||||
The Information Processing Center, Saitama University | ||||||
書誌情報 |
IEICE transactions on fundamentals of electronics, communications and computer sciences 巻 E80-A, 号 8, p. 1438-1445, 発行日 1997 |
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年月次 | ||||||
1997-8 | ||||||
出版者名 | ||||||
出版者 | 社団法人電子情報通信学会 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09168508 | |||||
関連サイト | ||||||
内容記述タイプ | Other | |||||
内容記述 | http://search.ieice.org/index.html | http://search.ieice.org/index.html | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In this paper, a new bits truncation adaptive pyramid (BTAP) algorithm for motion estimation is presented. The method employs bits truncation of the gray level from 8 bits to much less bits in the searching algorithm. Compared with conventional fast block matching algorithms, this method drastically improves speed for motion estimation on reduced gray-level images and preserves reasonable performance and algorithm reliability. Bits truncation concept is well combined with hierarchical pyramid algorithm in order to truncate adaptively according to image characteristics. The computation complexity is much less than that of pyramid algorithm and 3-Step motion estimation algorithm because of bit-truncated search and low overhead adaptation. Nevertheless, the PSNR property is also comparable with these two algorithms for various video sequences. | |||||
注記 | ||||||
内容記述タイプ | Other | |||||
内容記述 | copyright(c)1997 IEICE許諾番号:08RB0009 |
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版 | ||||||
[出版社版] | ||||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
資源タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | text | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
作成日 | ||||||
日付 | 2008-01-30 | |||||
日付タイプ | Created | |||||
アイテムID | ||||||
A1003002 |