Automatic Management of Large Images Databases
| 言語 | 英語 |
|---|---|
| 種類 | 国際会議等の予稿 |
| 著者 | Martin Klinkigt，Heiko Maus，Koichi Kise，Andreas Dengel |
| 論文名 | Automatic Management of Large Images Databases |
| 論文誌名 | Proceedings of the 2009 International Conference on Multimedia, Information Technology and its Applications (MITA2009) |
| ページ | pp.23-24 |
| 査読の有無 | 有 |
| 年月 | 2009年8月 |
| 分野 | 物体認識, パターン認識 |
| キー | Klinkigt2009_MITA (id=1103) |
要約
With an increasing amount of images a user would like to keep and share the desire for an adequate management for these images raises. The normal folder structure which is available on nowadays computers can fulfill this task only non satisfying. Often an image contains more individual information than can be expressed by a hierarchical tree. We introduce annotation techniques to support the user in this organization. Furthermore, we analyze how a computer system could do this organization automatically to keep the amount of work for the user as low as possible.
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