Copyright Protection of Images Based on Large-Scale Image Recognition
| Language | English |
|---|---|
| Type | Proceedings of Japanese Conferences |
| Authors | Koichi KISE, Satoshi YOKOTA, Akira SHIOZAKI |
| Title | Copyright Protection of Images Based on Large-Scale Image Recognition |
| Journal | IEICE Technical Report |
| Vol. | 107 |
| No. | 281 |
| Presentation number | PRMU2007-91 |
| Pages | pp.3-8 |
| Reviewed | Not reviewed |
| Date | October 2007 |
| Research fields | Pattern recognition |
| Key | Kise2007_IEICEPRMU (id=998) |
Abstract
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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