CUbRIK research at CIKM 2012: Pic Alert

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

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CUbRIK research at CIKM 2012: Pic Alert

  1. 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.ukA large portion of images, published in privacy decisions in the sharing context. Insocial Web2.0 applications, are of a highly addition, we present a privacy orientedsensitive nature, disclosing many details image search application whichof the users’ private life. We have automatically identifies potentiallydeveloped a web service which can detect sensitive images in the result set andprivate images within a user’s photo separates them from the remainingstream 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

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