A multimedia document browser based on multilayer networks

A multimedia document browser based on multilayer networks
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DOI:
10.1007/s11042-020-09872-9
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发表时间:
2020-11
影响因子:
3.6
通讯作者:
B. Renoust;Haolin Ren;G. Melançon;M. Viaud;S. Satoh
B. Renoust;Haolin Ren;G. Melançon;M. Viaud;S. Satoh
中科院分区:
计算机科学4区
文献类型:
--
作者:
B. Renoust;Haolin Ren;G. Melançon;M. Viaud;S. Satoh

文献摘要

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查询和检索相关信息仍然是一项艰巨的任务,对于用户来说,这项任务的认知成本相对较高,他们通常只关注结果的前几页。这一问题推动了通过集群和可视化来支持搜索结果探索的努力。本文通过提供一个可视化分析系统来应对这一挑战,该系统旨在支持多媒体文档档案中的搜索任务。该系统提供复杂的查询、时间的语义概述以及与分析相结合的视觉和文本概念。所有搜索任务都支持链接突出显示和跳跃交互。由于多层网络建模,这一切都可以在一个数据结构中实现。
Querying and retrieving relevant information still remains a difficult task, one with a relatively high cognitive cost for users, who usually focus only on the first few pages of results. This issue drives effort to support the exploration of search results through clustering and visualization. This paper contributes to this challenge by providing a visual analytics system that is designed to support search tasks in multimedia document archives. The system provides complex querying, semantic overviews of time, and visual, and textual concepts combined with analysis. All search tasks are supported with linked-highlighting and leapfrog interactions. This is made possible all in a single data structure thanks to multilayer network modelling.