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Deep learning-based image on personal information image processing system apparatus and method therefor

机译:基于深度学习的图像在个人信息图像处理系统上的装置及其方法

摘要

In the present invention, since image personal information such as a user's face among data collected as input data for deep learning is directly related to a problem that privacy infringement may occur, a small amount of computational resources can be obtained by distributing such image personal information through the dispersion of a deep learning process. It is also related to a technique for efficiently processing to reduce the discrimination power, and may include a data generation unit, a layer calculation unit, an inverse data acquisition unit, an unidentified image generation unit, a loss rate calculation unit, and an identifiable determination unit, Even in personal portable terminals and personal computers that do not possess computational power, it is possible to de-identify images with relatively little computational power, so deep learning learning as well as big data transmission and processing for various purposes can be performed on various devices without the possibility of personal information leakage. This can provide the effect that this may be possible.
机译:在本发明中,由于在作为用于深度学习的输入数据而收集的数据之中的诸如用户面部之类的图像个人信息与可能发生隐私侵害的问题直接相关,因此通过分发这种图像个人信息可以获得少量的计算资源。通过分散深度学习过程。它还涉及用于有效处理以降低判别能力的技术,并且可以包括数据生成单元,层计算单元,逆数据获取单元,未识别图像生成单元,丢失率计算单元和可识别单元。确定单元,即使在不具有计算能力的个人便携式终端和个人计算机中,也可以用较少的计算能力去识别图像,因此可以进行深度学习学习以及用于各种目的的大数据传输和处理在各种设备上都不会泄漏个人信息。这可以提供可能的效果。

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