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User interaction techniques for multimedia retrieval

Published: 08 March 2012 Publication History
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  • Abstract

    We present a set of novel user interaction techniques for fast and efficient multimedia querying and retrieval. Three new types of visual queries are proposed for retrieving different types of multimedia. Iconic queries facilitate editorial image retrieval and social multimedia retrieval. Simple sketches on a map form spatial queries for retrieving location-based multimedia. Sketches on an interactive calendar form queries for temporal multimedia retrieval. We also propose an interactive querying strategy that combines multiple search dimensions, to facilitate easier refinement of searches. We outline two applications that use the proposed interaction techniques and querying strategy. The users found these techniques and applications easy to learn and use.

    References

    [1]
    C. Bird, P. Elliott, and E. Griffiths. User interfaces for content-based image retrieval. In Intelligent Image Databases, IEE Colloq. on, pages 8/1--8/4, may 1996.
    [2]
    K. S. Candan, W. Li, and M. L. Priya. Similarity-based ranking and query processing in multimedia databases. Data Knowl. Eng., 35(3):259--298, December 2000.
    [3]
    Corbis. Stock photography, footage and rights: Corbis, 2011.
    [4]
    R. Datta, D. Joshi, J. Li, and J. S. Wang. Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys, 40(2):1--60, 2008.
    [5]
    G. de Silva, T. Yamasaki, and K. Aizawa. Sketch-based spatial queries for retrieving human locomotion patterns from continuously archived gps data. IEEE Transactions on Multimedia, 11(7):1240--1253, November 2009.
    [6]
    G. C. De Silva and K. Aizawa. Visual querying with iconic sketches for face image retrieval. In HCI International 2009, San Diego, CA, USA, July 2009.
    [7]
    M. J. Egenhofer. Query processing in spatial-query-by-sketch. Journal of Visual Languages and Computing, 8:403--424, 1997.
    [8]
    S. fu Chang, W. Chen, and H. Sundaram. Videoq: A fully automated video retrieval system using motion sketches. In Proc. 4 th IEEE Workshop on Applications of Computer Vision, pages 27--0, 1998.
    [9]
    A. Girgensohn, J. Adcock, and L. Wilcox. Leveraging face recognition technology to find and organize photos. In In Proceedings of the 6th ACM SIGMM international workshop on MIR, pages 99--106, 2004.
    [10]
    Google. Options panel on the search results page. In http://www.google.com/support/websearch/bin/answer.py?hl=en&answer=142143, 2011.
    [11]
    E. Hamilton. Jpeg file interchange format. In C-cube Microsystems, Milpitas. CA95035, 1992.
    [12]
    L.-J. Hove. Evaluating use of interfaces for visual query specification. In Norwegian NOKOBIT 2007 Conference, 2007.
    [13]
    G. Images. Getty images: Stock photography, editorial photos, footage and music, 2011.
    [14]
    M. Kopczynski. Efficient spatial queries with sketches. In IfromI06, pages 597--600, 2006.
    [15]
    K. Rodden. Evaluating similarity based visualizations as interfaces for image browsing. In Technical Report UCAM-CL-TR-543, University of Cambridge, 2002.
    [16]
    M. Rouw. Meaningful image-spaces and project photoindex, masters thesis. In Utrecht schools of the arts, Hilversum, the Netherlands, 2005.
    [17]
    J. Ruiz-del Solar and P. Navarrete. Faceret: An interactive face retrieval system based on self organizing maps. In Proceedings of the International Conference on Image and Video Retrieval, CIVR '02, pages 157--164, London, UK, UK, 2002.
    [18]
    S. Westman and P. Oittinen. Image retrieval by end-users and intermediaries in a journalistic work context. In Proceedings of the 1st international conference on Information interaction in context, IIiX, pages 102--110, New York, NY, USA, 2006. ACM.
    [19]
    Z. Zha, L. Yang, T. Mei, M. Wang, and Z. Wang. Visual query suggestion. In Seventeenth ACM international Conference on Multimedia, pages 15--24, Beijing, China, October 2009.
    [20]
    J. Zhang and A. Lee. etree: A browse and query interface for online communities. http://www.scientificcommons.org/43518033, 2008.
    [21]
    T. Zhang, J. Xiao, D. Wen, and X. Ding. Face based image navigation and search. In Seventeenth ACM international Conference on Multimedia, pages 597--600, Beijing, China, October 2009.
    [22]
    Y. Zheng, L. Liu, L. Wang, and X. Xie. Learning transportation modes from raw gps data for geographic application on the web. In Proceedings of International conference on World Wild Web (WWW 2008), pages 247--256, Beijing, China, 2008.

    Cited By

    View all
    • (2015)Exploring the Benefits of Text and Sketch in Video Retrieval of Complex QueriesProceedings of the 8th International Symposium on Visual Information Communication and Interaction10.1145/2801040.2801063(115-120)Online publication date: 24-Aug-2015
    • (2015)Speeding up the combination of multiple descriptors for different boundary conditions2015 Latin American Computing Conference (CLEI)10.1109/CLEI.2015.7359983(1-11)Online publication date: Oct-2015
    • (2014)Enhancing sketch-based sport video retrieval by suggesting relevant motion pathsProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609551(1227-1230)Online publication date: 3-Jul-2014

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    1. User interaction techniques for multimedia retrieval

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        cover image ACM Other conferences
        HCCE '12: Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
        March 2012
        277 pages
        ISBN:9781450311915
        DOI:10.1145/2160749
        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]

        Sponsors

        • Shizuoka University in Hamamatsu: Shizuoka University in Hamamatsu
        • University of Aizu: University of Aizu

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 08 March 2012

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        Author Tags

        1. facebox
        2. human computer interaction
        3. interactive multimedia queries
        4. multimedia interfaces
        5. multimedia retrieval
        6. social querying
        7. spatial querying

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        HCCE '12
        Sponsor:
        • Shizuoka University in Hamamatsu
        • University of Aizu

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        HCCE '12 Paper Acceptance Rate 48 of 81 submissions, 59%;
        Overall Acceptance Rate 48 of 81 submissions, 59%

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        Cited By

        View all
        • (2015)Exploring the Benefits of Text and Sketch in Video Retrieval of Complex QueriesProceedings of the 8th International Symposium on Visual Information Communication and Interaction10.1145/2801040.2801063(115-120)Online publication date: 24-Aug-2015
        • (2015)Speeding up the combination of multiple descriptors for different boundary conditions2015 Latin American Computing Conference (CLEI)10.1109/CLEI.2015.7359983(1-11)Online publication date: Oct-2015
        • (2014)Enhancing sketch-based sport video retrieval by suggesting relevant motion pathsProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609551(1227-1230)Online publication date: 3-Jul-2014

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