Memento: A Prototype Lifelog Search Engine for LSC'21

Naushad Alam, Yvette Graham, C. Gurrin
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引用次数: 21

Abstract

In this paper, we introduce a new lifelog retrieval system called Memento that leverages semantic representations of images and textual queries projected into a common latent space to facilitate effective retrieval. It bridges the semantic gap between complex visual scenes/events and user information needs expressed as textual and faceted queries. The system, developed for the 2021 Lifelog Search Challenge, also has a minimalist user interface that includes primary search, temporal search, and visual data filtering components.
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纪念品:LSC'21的原型生活日志搜索引擎
在本文中,我们介绍了一个名为Memento的新的生活日志检索系统,该系统利用投影到公共潜在空间的图像和文本查询的语义表示来促进有效的检索。它在复杂的视觉场景/事件和用户信息需求之间架起了一座语义桥梁,这些需求表达为文本和分面查询。该系统是为2021年Lifelog搜索挑战赛开发的,还具有极简的用户界面,包括主搜索、时间搜索和可视化数据过滤组件。
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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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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