Tag Detection for Preventing Unauthorized Face Image Processing

Tag Detection for Preventing Unauthorized Face Image Processing
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用于防止未经授权的人脸图像处理的标签检测

DOI:
10.1007/978-3-319-19321-2_39
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
I. Echizen
I. Echizen
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Alberto Escalada Jimenez;Adrian Dabrowski;N. Sonehara;J. Montero;I. Echizen

文献摘要

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一项新技术正在被提出,作为一种解决照片中无意的面部检测和识别问题的方案,在照片中,出现的个人想要通过使用不同的标签来表达他们的隐私偏好。现有的人脸去识别方法大多是在隐私环境中只提供绝对二进制解决方案的自组织解决方案,例如像素化或条形蒙版。随着社交网络的数量和用户数量的增加,我们对隐私的偏好可能会变得更加复杂,让这些绝对的二元解决方案成为过时的东西。这项拟议中的技术通过在标签中嵌入信息来克服这一问题,标签将被放置在靠近面部的地方,而不会造成干扰。通过解码方法,标签将提供将在进一步阶段中应用于图像的首选项。
A new technology is being proposed as a solution to the problem of unintentional facial detection and recognition in pictures in which the individuals appearing want to express their privacy preferences, through the use of different tags. The existing methods for face de-identification were mostly ad hoc solutions that only provided an absolute binary solution in a privacy context such as pixelation, or a bar mask. As the number and users of social networks are increasing, our preferences regarding our privacy may become more complex, leaving these absolute binary solutions as something obsolete. The proposed technology overcomes this problem by embedding information in a tag which will be placed close to the face without being disruptive. Through a decoding method the tag will provide the preferences that will be applied to the images in further stages.