Retrieval of Structured and Unstructured Data with vitrivr

Luca Rossetto, Ralph Gasser, Silvan Heller, Mahnaz Parian, H. Schuldt
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引用次数: 32

Abstract

With the increase in sensory capability of mobile devices, the data that can be generated and used in a lifelogging context gets increasingly diverse. Such data is special in the context of multimedia, not only because of its close personal relationship with its originator, but also because of its diverse multimodality and its composition from structured, semi-structured, and unstructured data. This diversity poses retrieval challenges that are unique to lifelog data but which also have implications for retrieval activity in other multimedia domains. In this paper, we present the extensions made to the vitrivr open-source multimedia retrieval stack, in order to address some of these unique lifelogging challenges. For the participation to the 2019 Lifelog Search Challenge (LSC), we have extended vitrivr with the capability to process Boolean query expressions alongside content-based query descriptions in order to leverage the structural diversity inherent to lifelog data.
结构化和非结构化数据的vitrivr检索
随着移动设备感知能力的提高,可以在生活记录环境中生成和使用的数据变得越来越多样化。这种数据在多媒体环境下是特殊的,不仅因为它与它的发起者有密切的个人关系,而且因为它的多样的多模态以及它由结构化、半结构化和非结构化数据组成。这种多样性对生命日志数据提出了独特的检索挑战,但也对其他多媒体领域的检索活动产生了影响。在本文中,我们介绍了对vitrivr开源多媒体检索堆栈的扩展,以解决这些独特的生活记录挑战。为了参加2019年的生活日志搜索挑战(LSC),我们扩展了vitrivr,使其能够处理布尔查询表达式和基于内容的查询描述,以利用生活日志数据固有的结构多样性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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