Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1646396.1646458acmconferencesArticle/Chapter ViewAbstractPublication PagescivrConference Proceedingsconference-collections
research-article

VideoMap: an interactive video retrieval system of MCG-ICT-CAS

Authors Info & Claims
Published:08 July 2009Publication History

ABSTRACT

This paper presents the highlights of our interactive video retrieval system VideoMap. To enhance the efficiency, the system has a map based displaying interface, which gives the user a global view about the similarity relationships among the whole video collection, and provides an active annotating manner to quickly localize the potential positive samples. Meanwhile, the proposed map supports multiple modality feedback, including the visual shots, high-level concepts and keywords. The system can improve the retrieval performance by automatically optimizing these feedback strategies.

References

  1. J. Cao, Y. D. Zhang, B. L. Feng, X. F Hua, L. Bao, and X. Zhang, MCG-ICT-CAS TRECVID2008 search task report, Proceedings of TRECVID, 2008Google ScholarGoogle Scholar
  2. TRECVID, http://www-nlpir.nist.gov/projects/trecvidGoogle ScholarGoogle Scholar

Index Terms

  1. VideoMap: an interactive video retrieval system of MCG-ICT-CAS

    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

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader