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Design and analysis of the human-computer interface for an image database.

机译:图像数据库人机界面的设计和分析。

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Supporting effective retrieval of images from databases is a difficult problem as sound design techniques for facilitating retrieval are rare. The human-computer interface is the principal component responsible for facilitating retrieval in databases. Hence, image retrieval can be better facilitated by improving the HCI design. An HCI was created that included both visual and verbal means of image retrieval (Visual-Verbal). Another HCI was created, for comparison purposes, that only included verbal means of retrieval and displayed only verbal information (Verbal). An object-oriented environment and client/server design were used to develop the HCIs. A set of digitized moving images from popular films was used as the test data set. Applying both manual and automated techniques a practical yet powerful image indexing procedure was developed. The index contained both verbal and visual information and was fully integrated into the Visual-Verbal HCI as an online aid. Effectiveness of the two HCIs was compared using quantitative and qualitative data collected from search sessions involving 18 users. No significant difference was found, between the two HCIs, on the variables search completion, error, help request and optimum searching. However, in both HCIs search completion rate was high (more than 80%).
机译:支持数据库中图像的有效检索是一个难题,因为促进检索的声音设计技术很少。人机界面是负责促进数据库检索的主要组件。因此,通过改进HCI设计可以更好地促进图像检索。创建了一个HCI,其中包括图像检索的视觉和口头手段(Visual-Verbal)。为了比较目的,创建了另一个HCI,该HCI仅包含口头检索手段,并且仅显示口头信息(Verbal)。面向对象的环境和客户端/服务器设计用于开发HCI。一组来自流行电影的数字化运动图像被用作测试数据集。应用手动和自动技术,开发了实用而强大的图像索引程序。该索引既包含语言信息又包含视觉信息,并已作为在线帮助完全集成到Visual-Verbal HCI中。使用从涉及18个用户的搜索会话中收集的定量和定性数据,比较了这两个HCI的有效性。在两个HCI之间,在变量搜索完成,错误,帮助请求和最佳搜索上没有发现显着差异。但是,在两个人机交互中,搜索完成率都很高(超过80%)。

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