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Social events and social ties

Published: 16 April 2013 Publication History

Abstract

This paper is based upon an approach for automatic detection of personal events in on-line personal photo collections and proposes a powerful exploitation of these events: We compose social events out of personal events and then automatically reveal interpersonal ties. Trying to tame the stream of big data in social networks we solely rely on image meta-data of time and space. We validate our assumptions in the wild using 1.8 million public images of more than 4100 users. The proposed approach has three main steps: (i) personal event detection using individual, unsorted photo collections, in which we make use of the spatio-temporal context embedded in digital photos to detect event boundaries within the collection; (ii) social event detection for which we use a tailored similarity measurement between personal events of different users; and (iii) an analysis of event co-participation to propagate social connections. Experiments validate that the fully automated approach is able to accurately detect 78.76% of social events and reconstruct the interpersonal ties of a user with a verified true positive rate of 45%. This rate is probably much higher: Since most interpersonal ties are undefined in the universe of social networks, our experimental ground-truth of course remains fragmentary.

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Cited By

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  • (2019)Automatic and semi-automatic annotation of people in photography using shared eventsMultimedia Tools and Applications10.1007/s11042-018-6715-978:10(13841-13875)Online publication date: 1-May-2019
  • (2018)Photo annotationMultimedia Tools and Applications10.1007/s11042-016-4281-677:1(423-457)Online publication date: 1-Jan-2018
  • (2015)DICE: A Distributed Protocol for Camera-Aided Video Surveillance2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing10.1109/CIT/IUCC/DASC/PICOM.2015.68(477-484)Online publication date: Oct-2015
  • Show More Cited By

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Published In

cover image ACM Conferences
ICMR '13: Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
April 2013
362 pages
ISBN:9781450320337
DOI:10.1145/2461466
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 16 April 2013

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Author Tags

  1. event detection
  2. media indexing
  3. social events
  4. social networks discovery

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ICMR '13 Paper Acceptance Rate 38 of 96 submissions, 40%;
Overall Acceptance Rate 254 of 830 submissions, 31%

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Cited By

View all
  • (2019)Automatic and semi-automatic annotation of people in photography using shared eventsMultimedia Tools and Applications10.1007/s11042-018-6715-978:10(13841-13875)Online publication date: 1-May-2019
  • (2018)Photo annotationMultimedia Tools and Applications10.1007/s11042-016-4281-677:1(423-457)Online publication date: 1-Jan-2018
  • (2015)DICE: A Distributed Protocol for Camera-Aided Video Surveillance2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing10.1109/CIT/IUCC/DASC/PICOM.2015.68(477-484)Online publication date: Oct-2015
  • (2014)Foto2EventsProceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing10.1109/BDCloud.2014.76(508-515)Online publication date: 3-Dec-2014

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