Copyright Protection of Images Based on Large-Scale Image Recognition
| 言語 | 英語 |
|---|---|
| 種類 | 研究会等の予稿 |
| 著者 | Koichi KISE，Satoshi YOKOTA，Akira SHIOZAKI |
| 論文名 | Copyright Protection of Images Based on Large-Scale Image Recognition |
| 論文誌名 | IEICE Technical Report |
| Vol. | 107 |
| No. | 281 |
| 発表番号 | PRMU2007-91 |
| ページ | pp.3-8 |
| 査読の有無 | 無 |
| 年月 | 2007年10月 |
| 分野 | パターン認識 |
| キー | Kise2007_IEICEPRMU (id=998) |
要約
This paper presents a method of copyright protection for digital still images based on their recognition with a large-scale image database. For the purpose of copyright protection of images， digital watermarking has been extensively studied for more than a decade. However，it is still difficult to achieve enough robustness against alternations such as StirMark attacks. In order to solve this problem, we propose a method of copyright protection based on new image recognition technologies that are tolerant to various image distortions including geometric transformations. The image recognition enables us to find a corresponding image from at least tens of thousands of reference images to be protected in response to a query image that undergoes StirMark attacks and digital watermarking. From experimental results using 10,000 images in the database， we have confirmed that the method is capable of recognizing 99.5\% of query images only within 216 ms / query (excluding feature extraction).
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