PRIMO - Towards Privacy Aware Image Sharing

Burghardt, Thorben; Buchmann, Erik; Böhm, Klemens

doi:10.1109/wiiat.2008.23

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…Previous work by us [25] and by Burghardt et al [5] attempt to automate manual searches users would otherwise have to do, saving them time. These services are designed as independent value-added services to existing systems and remain close to current SNS practices.…”

Section: Designmentioning

confidence: 99%

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Henne

Szongott

Smith

2013

Proceedings of the Sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks

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The amount of media uploaded to the Web is still rapidly expanding. The ease-of-use of modern smartphones in combination with the proliferation of high-speed mobile networks facilitates a culture of spontaneous and often carefree sharing of user-generated content, especially photos and videos. An increasing number of modern devices are capable of embedding location information and other metadata into created content. However, currently there is not much user awareness of possible privacy consequences of such data. While in most cases users upload their own media consciously, the flood of media uploaded by others is so huge that it is almost impossible for users to stay aware of all media that might be relevant to them. Current social network services and photo-sharing sites mainly focus on the privacy of users' own media in terms of access control, but offer few possibilities to deal with privacy implications created by other users' actions. We conducted an online survey with 414 participants. The results show that users would like to get more information about media shared by others. Based on an analysis of prevalent sharing services like Flickr, Facebook, or Google+ and an analysis of metadata of three different sets of crawled photos, we discuss privacy implications and potentials of the emerging trend of (geo-)tagged media. Finally, we present a novel concept on how location information can actually help users to control the flood of potentially infringing or interesting media.

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Section: Designmentioning

confidence: 99%

“…PRIMO [5] is a mashup service that searches for photos a user is depicted in by querying different social network services. It uses face recognition based on pre-defined training data and semantic annotations like age or gender to identify persons in published photos.…”

Section: Related Workmentioning

confidence: 99%