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IBM multimedia search and retrieval system

Published:09 July 2007Publication History

ABSTRACT

IBM Multimedia Search and Retrieval System is a Webbased technology that makes digital photos and video searchable through automated classification and indexing [3]. IBM system is unique in that it learns as it goes, helping users search immense multimedia content repositories faster and more effectively than ever before. Marvel uses multi-modal machine learning techniques for bridging the semantic gap for multimedia content analysis and retrieval. It automatically annotates images and videos by recognizing the semantic entities-such as scenes, objects, events, and people-that are depicted in the content.

References

  1. M. Campbell and et al. IBM research TRECVID video retrieval system. In NIST TRECVID 2006 Workshop.Google ScholarGoogle Scholar
  2. P. Over, T. Ianeva, W. Kraaij, and A. Smeaton. Trecvid 2006 an introduction. In NIST TRECVID-2006 Workshop.Google ScholarGoogle Scholar
  3. J. R. Smith and et al. IBM multimedia analysis and retrieval system. In IBM Research White paper.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval
    July 2007
    655 pages
    ISBN:9781595937339
    DOI:10.1145/1282280

    Copyright © 2007 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 9 July 2007

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