Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2324796.2324867acmconferencesArticle/Chapter ViewAbstractPublication PagesicmrConference Proceedingsconference-collections
research-article

Categorization of a collection of pictures into structured events

Published: 05 June 2012 Publication History
  • Get Citation Alerts
  • Abstract

    This demo showcases our system which classifies a collection of pictures into events and its individual images into subevents. We reach this goal by analysizing visual features with an efficient implementation of a Bag-of-Words method and by leveraging time information both for events and sub-events. The system allows the user to analyze a collection of images - named as event-album - from disk or from internet sharing services such as Picasa and Flickr. The results are displayed in a web-browser window allowing the user to view the pictures of the entire recognized event, as well as their recognised sub-events.

    References

    [1]
    M. Cooper, J. Foote, A. Girgensohn, and L. Wilcox. Temporal event clustering for digital photo collections. ACM Transactions on Multimedia Computing Communications and Applications, 1(3):269--288, 2005.
    [2]
    R. Mattivi, J. Uijlings, F. G. De Natale, and N. Sebe. Exploitation of time constraints for (sub-)event recognition. In Proceedings of the 2011 joint ACM workshop on Modeling and representing events, 2011.
    [3]
    J. R. R. Uijlings, A. W. M. Smeulders, and R. J. H. Scha. Real-Time Visual Concept Classification. IEEE Transactions on Multimedia, 12(7):665--681, Nov. 2010.
    [4]
    J. M. Zacks, T. S. Braver, M. A. Sheridan, D. I. Donaldson, A. Z. Snyder, J. M. Ollinger, R. L. Buckner, and M. E. Raichle. Human brain activity time-locked to perceptual event boundaries. Nature neuroscience, 4(6):651--5, June 2001.

    Cited By

    View all

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    ICMR '12: Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
    June 2012
    489 pages
    ISBN:9781450313292
    DOI:10.1145/2324796
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 June 2012

    Check for updates

    Author Tags

    1. BoW
    2. clustering
    3. events
    4. sub-events

    Qualifiers

    • Research-article

    Conference

    ICMR '12
    Sponsor:

    Acceptance Rates

    ICMR '12 Paper Acceptance Rate 50 of 145 submissions, 34%;
    Overall Acceptance Rate 254 of 830 submissions, 31%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 12 Aug 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2016)Event analysis in social multimediaFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-015-4583-210:3(433-446)Online publication date: 1-Jun-2016
    • (2016)Linking socially contributed media with eventsMultimedia Systems10.1007/s00530-014-0436-322:4(433-442)Online publication date: 1-Jul-2016
    • (2015)Event-Based Media Enrichment Using an Adaptive Probabilistic Hypergraph ModelIEEE Transactions on Cybernetics10.1109/TCYB.2014.237475545:11(2461-2471)Online publication date: Nov-2015
    • (2014)Augmenting Image Descriptions Using Structured Prediction OutputIEEE Transactions on Multimedia10.1109/TMM.2014.232153016:6(1665-1676)Online publication date: Oct-2014

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media