skip to main content
10.1145/1376971.1376992acmconferencesArticle/Chapter ViewAbstractPublication PagesubimobConference Proceedingsconference-collections
demonstration

Annotation contextuelle automatique avec PhotoMap

Published:28 May 2008Publication History

ABSTRACT

We present a mobile and context-aware system, called PhotoMap that provides semi-automatic annotation about the spatial, temporal and social contexts of a photo. (i.e., where, when, who and what was nearby). The PhotoMap application captures the photo shot context when a user takes a picture with her camera phone. The mobile client gets the geographic position of the device, date and time information, bluetooth addresses of the nearby devices. PhotoMap explores these gathered metadata to infer high level contextual information such as, nearby user's friends, weather conditions, device address, and nearby important objects. PhotoMap uses these metadata for organizing, sharing and retrieving the photo files.

References

  1. Viana, Windson; Bringel, Jose; Villanova-Oliver, M.; Gensel, J.; Martin, H; "PhotoMap: automatic spatiotemporal annotation for mobile photos". In Proceedings of the 7th International Symposium on Web and Wireless GIS (W2GIS) Cardiff, UK. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Naaman M., Harada S., Wang Q., Garcia-Molina H., Paepcke A. «Context data in geo-referenced digital photo collections». In Proceeding of the 12th ACM international Conference on Multimedia (MULTIMEDIA '04), 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Annotation contextuelle automatique avec PhotoMap

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          UbiMob '08: Proceedings of the 4th French-speaking conference on Mobility and ubiquity computing
          May 2008
          103 pages
          ISBN:9781595939807
          DOI:10.1145/1376971

          Copyright © 2008 ACM

          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]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 28 May 2008

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • demonstration
        • Article Metrics

          • Downloads (Last 12 months)0
          • Downloads (Last 6 weeks)0

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader