基于事件的交互式生命日志检索系统[j]

Ly-Duyen Tran, Binh T. Nguyen, Liting Zhou, C. Gurrin
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引用次数: 1

摘要

检索是生命日志研究界的一个基本挑战,自2018年以来,生命日志搜索挑战(LSC)一直是交互式生命日志检索系统的重要年度基准测试活动。本文提出了MyEachtra (/mai-AK-truh/),这是一个为即将到来的LSC ' 23研讨会设计的系统。MyEachtra改进了从LSC ' 20到LSC ' 22表现最好的mysc系统,包括修改,以解决非所有者用户对生活日志上下文的理解和开放式生活日志问题回答的挑战。具体来说,MyEachtra将焦点从图像转移到作为检索单元的事件。使用位置元数据以及连续图像之间的视觉和时间差异来分割事件。为了测试系统的自动性能,对不同的将图像聚合成事件的方法进行了初步研究,结果显示出很好的效果。对于已知项目查询,仅显示前3个事件已被证明足以找到相关图像。但是,为了对MyEachtra进行完整的分析,有必要对临时查询和问答查询的性能进行将来的评估。
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MyEachtra: Event-Based Interactive Lifelog Retrieval System for LSC’23
Retrieval is a fundamental challenge within the research community of lifelog and the Lifelog Search Challenge (LSC) has been an important annual benchmarking activity for interactive lifelog retrieval systems since 2018. This paper proposes MyEachtra (/mai-AK-truh/), a system designed for the upcoming LSC’23 workshop. Improved upon MyScéal, which was the top performing system from LSC’20 to LSC’22, MyEachtra includes modifications to address the challenges of non-owner user understanding of lifelog contexts and open-ended lifelog question answering. Specifically, MyEachtra shifts the focus from images to events as retrieval units. Events are segmented using location metadata as well as visual and time differences between successive images. A pilot study on different approaches to aggregate images into events was conducted to test the automatic performance of the system, which showed promising results. For known-item queries, showing only the top 3 events proved to be adequate to find relevant images. However, future evaluation of the performance for ad-hoc and question-answering queries is necessary for a complete analysis of the MyEachtra.
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