EXTENSION OF IMAGENOTION TO ALLOW PRIVACY-AWARE IMAGE SHARING

被引：0

作者：

Walter, Andreas ^{[1
]}

Nagypal, Gabor ^{[2
]}

机构：

[1] FZI Res Ctr Informat Technol, D-76131 Karlsruhe, Germany

[2] Disy Informat Syst GmbH, D-76133 Karlsruhe, Germany

来源：

COMPUTING AND INFORMATICS | 2009年 / 28卷 / 06期

关键词：

Social network sites; collaboration; semantic image annotation; privacy; ImageNotion; face detection; face recognition; person detection;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A growing number of users in Web 2.0 based social network sites and photo sharing portals upload millions of images per day. In many cases, this leads to serious privacy threats. The images reveal not only the personal relationships and attitudes of the user who uploads the images, but those of other persons displayed in the images as well. In this paper, we propose a system architecture for privacy-aware image sharing. Our approach is based on the ImageNotion application, which combines automated processes to create high-quality semantic image annotations.

引用

页码：747 / 762

页数：16

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