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

Using visual representations for the searching and browsing of large, complex, multimedia data sets
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使用视觉表示来搜索和浏览大型、复杂的多媒体数据集

DOI:
10.1016/j.ijinfomgt.2014.12.003
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发表时间:
2015
影响因子:
21
通讯作者:
Grierson H
Grierson H
中科院分区:
管理学1区
文献类型:
--
作者:
Grierson H

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近年来,公司、项目和个人产生的数字数据大幅增加。这导致在可视化和使用大量不同的数字信息集合方面面临重大挑战。事实上,这些大型数据集可以有效地挖掘相关和有价值的信息的速度和准确性可以对公司业绩产生重大影响。本研究探讨了使用视觉表示搜索和浏览大型,复杂的多媒体数据集的可行性。本文介绍了SIZL(搜索信息在缩放景观)系统,这是为了使作者能够有效地测试是否2.5D图形表示的多媒体数据景观产生可量化的改善用户的能力,以评估其内容。该可视化系统的可用性进行了分析,使用实验和定量和定性相结合的数据收集方法。本文介绍了这些结果,并讨论了潜在的工业应用以及未来的工作,将改善SIZL数据可视化方法。
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.
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