Dataset "Privacy-aware image classification and search"
Dataset "Privacy-aware image classification and search"
Modern content sharing environments such as Flickr or YouTube contain a large number of private resources such as photos showing weddings, family holidays, and private parties. These resources can be of a highly sensitive nature, disclosing many details of the users' private sphere. In order to support users in making privacy decisions in the context of image sharing and to provide them with a better overview of privacy-related visual content available on the Web, we propose techniques to automatically detect private images and to enable privacy-oriented image search. In order to classify images, we use the metadata like title and tags and plan to use visual features which are described in our scientific paper. The data set used in the paper is now available. Picalet! cleaned dataset - ( recommended for experiments) userstudy - (images annotated with queries, anonymized user id and privacy value)
Hare, Jonathan
f98f2608-2fd4-443f-8e8f-7fa341632e67
Siersdorfer, Stefan
e5a8a356-ceeb-4d95-b684-98992e549714
Zerr, Sergej
0d1a9e2d-d0fc-4683-a762-bfa7f523ce3d
Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af
Zerr, Sergej
0d1a9e2d-d0fc-4683-a762-bfa7f523ce3d
Jonathon, Hare
ec0e6177-fa47-42b2-8f19-75133c253e0c
Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af
Siersdorfer, Stefan
e5a8a356-ceeb-4d95-b684-98992e549714
Hare, Jonathan
f98f2608-2fd4-443f-8e8f-7fa341632e67
Siersdorfer, Stefan
e5a8a356-ceeb-4d95-b684-98992e549714
Zerr, Sergej
0d1a9e2d-d0fc-4683-a762-bfa7f523ce3d
Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af
Zerr, Sergej
0d1a9e2d-d0fc-4683-a762-bfa7f523ce3d
Jonathon, Hare
ec0e6177-fa47-42b2-8f19-75133c253e0c
Demidova, Elena
8af7dea2-8dc6-40da-98b4-ea4a6593f2af
Siersdorfer, Stefan
e5a8a356-ceeb-4d95-b684-98992e549714
Abstract
Modern content sharing environments such as Flickr or YouTube contain a large number of private resources such as photos showing weddings, family holidays, and private parties. These resources can be of a highly sensitive nature, disclosing many details of the users' private sphere. In order to support users in making privacy decisions in the context of image sharing and to provide them with a better overview of privacy-related visual content available on the Web, we propose techniques to automatically detect private images and to enable privacy-oriented image search. In order to classify images, we use the metadata like title and tags and plan to use visual features which are described in our scientific paper. The data set used in the paper is now available. Picalet! cleaned dataset - ( recommended for experiments) userstudy - (images annotated with queries, anonymized user id and privacy value)
This record has no associated files available for download.
More information
Published date: 12 August 2012
Identifiers
Local EPrints ID: 475474
URI: http://eprints.soton.ac.uk/id/eprint/475474
PURE UUID: fbf1d316-c47d-4542-8bf7-d457d661d810
Catalogue record
Date deposited: 20 Mar 2023 17:40
Last modified: 05 May 2023 20:22
Export record
Altmetrics
Contributors
Contributor:
Jonathan Hare
Contributor:
Stefan Siersdorfer
Contributor:
Sergej Zerr
Contributor:
Elena Demidova
Contributor:
Sergej Zerr
Contributor:
Hare Jonathon
Contributor:
Elena Demidova
Contributor:
Stefan Siersdorfer
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics