Interactive Multimodal Lifelog Retrieval with vitrivr at LSC 2021

Silvan Heller, Ralph Gasser, Mahnaz Parian-Scherb, Sanja Popovic, Luca Rossetto, Loris Sauter, Florian Spiess, H. Schuldt
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引用次数: 21

Abstract

The Lifelog Search Challenge (LSC) is an annual benchmarking competition for interactive multimedia retrieval systems, where participating systems compete in finding events based on textual descriptions containing hints about structured, semi-structured, and/or unstructured data. In this paper, we present the multimedia retrieval system vitrivr, a long-time participant to LSC, with a focus on new functionality. Specifically, we introduce the image stabilisation module which is added prior to the feature extraction to reduce the image degradation caused by lifelogger movements, and discuss how geodata is used during query formulation, query execution, and result presentation.
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基于vitrivr的交互式多模态生命日志检索
Lifelog搜索挑战赛(LSC)是交互式多媒体检索系统的年度基准竞赛,参赛系统在基于包含结构化、半结构化和/或非结构化数据提示的文本描述的基础上竞争查找事件。本文介绍了多媒体检索系统vitrivr,它是LSC的一个长期参与者,并重点介绍了它的新功能。具体来说,我们介绍了在特征提取之前添加的图像稳定模块,以减少由于日志移动引起的图像退化,并讨论了在查询制定、查询执行和结果呈现过程中如何使用地理数据。
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Memento: A Prototype Lifelog Search Engine for LSC'21 XQC at the Lifelog Search Challenge 2021: Interactive Learning on a Mobile Device LifeSeeker 3.0: An Interactive Lifelog Search Engine for LSC'21 Enhanced SOMHunter for Known-item Search in Lifelog Data Flexible Interactive Retrieval SysTem 2.0 for Visual Lifelog Exploration at LSC 2021
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