Generating Useful Photo Context Metadata for the Semantic Web

Monaghan, Fergal; O’Sullivan, David

doi:10.1109/mdm.2006.93

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…The method, however, requires faces appearing in photos and thus only commemorative photos can be clustered. Although both Nair et al [5] and Monaghan et al [4] proposed photo sharing among multiple users by aggregating the Bluetooth presence information collected from them, they did not give interaction methods but proposed only sharing frameworks. Hui et al [3] clusters human relations by sensing Bluetooth and Wi-Fi, but they didn't give a concrete application.…”

Section: Introductionmentioning

confidence: 99%

Personal photo browser that can classify photos by participants and situations

Onishi

Tokuami

Kono

et al. 2012

Proceedings of the International Working Conference on Advanced Visual Interfaces

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This paper demonstrates a photo browser which rearranges photos referring to the persons who were close to the photographer when the photos were taken by consulting Bluetooth device detection information. Most of Bluetooth devices accompany their owners. Each photo is tagged with Bluetooth device-IDs which were detected around the moment when it was taken. Employing the tag information, the system classifies the user's photo archive into a layered cluster tree in terms of tag similarity, and shows its user the photos of herselected cluster on either a map or timelines.

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Section: Introductionmentioning

confidence: 99%