evidence of research described in "PicAlert!: A System for Privacy-Aware Image Classification and Retrieval"

1. PicAlert!: A System for Privacy-Aware Image Classification
and Retrieval
Sergej Zerr, Stefan Siersdorfer, Jonathon Hare
E-mail: {zerr,siersdorfer}@L3S.de, jsh2@ecs.soton.ac.uk
A large portion of images, published in privacy decisions in the sharing context. In
social Web2.0 applications, are of a highly addition, we present a privacy oriented
sensitive nature, disclosing many details image search application which
of the users’ private life. We have automatically identifies potentially
developed a web service which can detect sensitive images in the result set and
private images within a user’s photo separates them from the remaining
stream and provide support in making pictures.
1 Acquiring the Ground Truth Using a Social Annotation Game
Common notion of “privacy”: 81 users annotated
“Private are photos which have to do with
the private sphere (like self portraits,
family, friends, your home) or contain
37,535 recent images
objects that you would not share with the
entire world (like a private email). The rest
27,405 public
are public. In case no decision can be
made, the picture should be marked as 4,701 private
undecidable.”
GUI of the game.
2 Feature Extraction 3 Classifier Training
Colors SIFT
BEP
Visual: 0.74
Edges Faces
Text: 0.78
Combination: 0.80
Evaluation: P/R curves for the features and
Top-50 stemmed terms according to their Top-50 stemmed terms according to their their combination.
Mutual Information values for Mutual Information values for
“public” vs. “private” photos in Flickr “public” vs. “private” photos in Flickr
4 Search & Web Service
Search results for the query “cristiano ronaldo” (06/06/12). Web service GUI for privacy-oriented image classification.
www.cubrikproject.eu