IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v35y2015i2p244-252.html
   My bibliography  Save this article

Using visual representations for the searching and browsing of large, complex, multimedia data sets

Author

Listed:
  • Grierson, H.J.
  • Corney, J.R.
  • Hatcher, G.D.

Abstract

Recent years have seen a huge increase in the digital data generated by companies, projects and individuals. This has led to significant challenges in visualizing and using large, diverse collections of digital information. Indeed the speed and accuracy with which these large datasets can be effectively mined for information that is relevant and valuable can have a significant effect on company performance. This research investigates the feasibility of using visual representations for the searching and browsing of large, complex, multimedia data sets. This paper introduces the SIZL (Searching for Information in a Zoom Landscape) system, which was developed to enable the authors to effectively test whether a 2.5D graphical representation of a multimedia data landscape produces quantifiable improvements in a user's ability to assess its contents. The usability of this visualization system was analyzed using experiments and a combination of quantitative and qualitative data collection methods. The paper presents these results and discusses potential industrial applications as well as future work that will improve the SIZL data visualization method.

Suggested Citation

  • Grierson, H.J. & Corney, J.R. & Hatcher, G.D., 2015. "Using visual representations for the searching and browsing of large, complex, multimedia data sets," International Journal of Information Management, Elsevier, vol. 35(2), pages 244-252.
    • Handle: RePEc:eee:ininma:v:35:y:2015:i:2:p:244-252
    DOI: 10.1016/j.ijinfomgt.2014.12.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401214001236
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2014.12.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:35:y:2015:i:2:p:244-252. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.