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CLAN Photo Presenter: Multi-modal Summarization Tool for Image Collections

Published: 01 April 2014 Publication History

Abstract

Effective management of multimedia data is becoming vital for success in the modern era of omnipresent data. Summarization tools, which allow users to quickly get the gist of a given data collection and have proven their usefulness in text domain, are now gaining popularity also in multimedia processing. However, existing algorithms provide visual-only summaries for image collections, which are difficult to index and search. This paper introduces a prototype software tool that automatically creates multi-modal summaries of personal image collections by enriching the visual collage with keyword annotation. The result is presented as a web page that allows users to browse and share the summarized data.

References

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T. Liu, J. Wang, J. Sun, N. Zheng, X. Tang, and H.-Y. Shum. Picture collage. IEEE Transactions on Multimedia, 11(7):1225--1239, 2009.
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L. Rokach. A survey of clustering algorithms. In Data Mining and Knowledge Discovery Handbook, pages 269--298. Springer US, 2010.
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T. Skopal, V. Dohnal, M. Batko, and P. Zezula. Distinct nearest neighbors queries for similarity search in very large multimedia databases. In Proceedings of WIDM '09, pages 11--14. ACM, 2009.
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L. Tan, Y. Song, S. Liu, and L. Xie. ImageHive: Interactive content-aware image summarization. IEEE Computer Graphics and Apps., 32(1):46--55, 2012.
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L. Zhang and H. Huang. Hierarchical narrative collage for digital photo album. Comput. Graph. Forum, 31(7-2):2173--2181, 2012.

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    ICMR '14: Proceedings of International Conference on Multimedia Retrieval
    April 2014
    564 pages
    ISBN:9781450327824
    DOI:10.1145/2578726
    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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 April 2014

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    Author Tags

    1. automatic annotation
    2. clustering
    3. content-based data management
    4. image collections
    5. multi-modal summarization

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    • Tutorial
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    • Refereed limited

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    ICMR '14
    ICMR '14: International Conference on Multimedia Retrieval
    April 1 - 4, 2014
    Glasgow, United Kingdom

    Acceptance Rates

    ICMR '14 Paper Acceptance Rate 21 of 111 submissions, 19%;
    Overall Acceptance Rate 254 of 830 submissions, 31%

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