lifeXplore at the Lifelog Search Challenge 2018

Bernd Münzer, Andreas Leibetseder, Sabrina Kletz, Manfred Jürgen Primus, Klaus Schöffmann
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引用次数: 32

Abstract

With the growing hype for wearable devices recording biometric data comes the readiness to capture and combine even more personal information as a form of digital diary - lifelogging today is practiced ever more and can be categorized anywhere between an informative hobby and a life-changing experience. From an information processing point of view, analyzing the entirety of such multi-source data is immensely challenging, which is why the first Lifelog Search Challenge 2018 competition is brought into being, as to encourage the development of efficient interactive data retrieval systems. Answering this call, we present a retrieval system based on our video search system diveXplore, which has successfully been used in the Video Browser Showdown 2017 and 2018. Due to the different task definition and available data corpus, the base system was adapted and extended to this new challenge. The resulting lifeXplore system is a flexible retrieval and exploration tool that offers various easy-to-use, yet still powerful search and browsing features that have been optimized for lifelog data and for usage by novice users. Besides efficient presentation and summarization of lifelog data, it includes searchable feature maps, concept and metadata filters, similarity search and sketch search.
lifeXplore在2018年生活日志搜索挑战赛上
随着记录生物特征数据的可穿戴设备越来越受欢迎,人们已经准备好捕捉和结合更多的个人信息,作为一种数字日记的形式——今天的生活日志越来越多,可以被归类为信息爱好和改变生活的经历。从信息处理的角度来看,分析这样的多源数据是非常具有挑战性的,这就是为什么第一届生命日志搜索挑战赛2018成立的原因,以鼓励开发高效的交互式数据检索系统。为此,我们提出了一个基于我们的视频搜索系统diveXplore的检索系统,该系统已成功用于2017年和2018年的视频浏览器对决。由于不同的任务定义和可用的数据语料库,基础系统进行了调整和扩展,以适应这一新的挑战。由此产生的lifeXplore系统是一个灵活的检索和探索工具,它提供了各种易于使用,但仍然强大的搜索和浏览功能,这些功能已经针对生活日志数据和新手用户进行了优化。除了对生活日志数据进行高效的呈现和总结外,它还包括可搜索的特征图、概念和元数据过滤器、相似性搜索和草图搜索。
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