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%.

中文翻译：

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基于Spark的实时主动图像跟踪保护模型

随着Internet的快速发展，图像越来越广泛地传播。图像非法使用现象频频出现，对人们的正常生活产生了明显影响。因此，保护​​图像安全和图像所有者的权利至关重要。目前，大多数图像保护都是被动的。大多数时候，只有当图像被非法使用并且出现了严重的不良后果时，图像所有者才发现它。本文提出了一种基于Spark的实时主动图像跟踪保护模型（SRPITP），用于实时监视受保护图像的状态。只要发现非法使用，就会向图像所有者发出警报。该模型主要包括图像指纹提取模块，图像爬行模块和图像匹配模块。