Lifelog Discovery Assistant: Suggesting Prompts and Indexing Event Sequences for FIRST at LSC 2023

N. Hoang-Xuan, Thang-Long Nguyen-Ho, C. Gurrin, Minh-Triet Tran
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引用次数: 2

Abstract

AI-assisted tools have become more prevalent than ever in the last few years. However, applying them to build a lifelog retrieval system is still non-trivial due to the disparity in interfaces and interactions. The Lifelog Search Challenge (LSC) aims to provide a testing ground where systems can be benchmarked in a highly competitive setting. In this paper, we present the fourth iteration of our participating system FIRST. For this year, we adopt generative models to equip the system with predictive ability rather than entirely relying on the user to input the query. We also index a sequence of images as an event for improved search speed. Finally, we demonstrate how the additional features can assist users in searching.
生活日志发现助理:建议提示和索引事件序列在LSC 2023
在过去的几年里,人工智能辅助工具变得比以往任何时候都更加普遍。然而,由于界面和交互的差异,将它们应用于构建生活日志检索系统仍然不是一件容易的事情。Lifelog搜索挑战赛(LSC)旨在提供一个测试平台,让系统可以在高度竞争的环境中进行基准测试。在本文中,我们首先提出了我们参与系统的第四次迭代。今年,我们采用生成模型使系统具备预测能力,而不是完全依靠用户输入查询。我们还将一系列图像作为事件索引,以提高搜索速度。最后,我们将演示附加功能如何帮助用户进行搜索。
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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