دورية أكاديمية
Spark-based real-time proactive image tracking protection model
| العنوان: | Spark-based real-time proactive image tracking protection model |
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| المؤلفون: | Yahong Hu, Xia Sheng, Jiafa Mao, Kaihui Wang, Danhong Zhong |
| المصدر: | EURASIP Journal on Information Security, Vol 2019, Iss 1, Pp 1-8 (2019) |
| بيانات النشر: | SpringerOpen, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Computer engineering. Computer hardware LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Fingerprint, Image protection, Spark, Database, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Abstract With rapid development of the Internet, images are spreading more and more quickly and widely. The phenomenon of image illegal usage emerges frequently, and this has marked impacts on people’s normal life. Therefore, it is of great importance to protect image security and image owner’s rights. At present, most image protection is passive. Most of the time, only when the images had been used illegally and serious adverse consequences had appeared did the image owners discover it. In this paper, a Spark-based real-time proactive image tracking protection model (SRPITP) is proposed to monitor the status of images under protection in real time. Whenever illegal use is found, an alert will be issued to image owners. The model mainly includes image fingerprint extraction module, image crawling module, and image matching module. The experimental results show that in SRPITP, the image matching accuracy rate is above 98.9%, and compared with its stand-alone counterpart, the corresponding time reduction for image extraction and matching are about 58.78% and 61.67%. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2510-523X |
| العلاقة: | http://link.springer.com/article/10.1186/s13635-019-0086-2Test; https://doaj.org/toc/2510-523XTest |
| DOI: | 10.1186/s13635-019-0086-2 |
| الوصول الحر: | https://doaj.org/article/eafdec5e153b4ec9823563d4b1fbb90fTest |
| رقم الانضمام: | edsdoj.fdec5e153b4ec9823563d4b1fbb90f |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2510523X |
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| DOI: | 10.1186/s13635-019-0086-2 |