An Interactive Multimodal Retrieval System for Memory Assistant and Life Organized Support

Van-Luon Tran, Anh-Vu Mai-Nguyen, Trong-Dat Phan, Anh-Khoa Vo, Minh-Son Dao, K. Zettsu
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引用次数: 1

Abstract

Lifelogging is known as the new trend of writing diary digitally where both the surrounding environment and personal physiological data and cognition are collected at the same time under the first perspective. Exploring and exploiting these lifelog (i.e., data created by lifelogging) can provide useful insights for human beings, including healthcare, work, entertainment, and family, to name a few. Unfortunately, having a valuable tool working on lifelog to discover these insights is still a tough challenge. To meet this requirement, we introduce an interactive multimodal retrieval system that aims to provide people with two functions, memory assistant and life organized support, with a friendly and easy-to-use web UI. The output of the former function is a video with footages expressing all instances of events people want to recall. The latter function generates a statistical report of each event so that people can have more information to balance their lifestyle. The system relies on two major algorithms that try to match keywords/phrases to images and to run a cluster-based query using a watershed-based approach.
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记忆辅助和生活组织支持的交互式多模态检索系统
生活日志被称为在第一视角下同时收集周围环境和个人生理数据和认知的数字化日记新趋势。探索和利用这些生活日志(即由生活日志创建的数据)可以为人类提供有用的见解,包括医疗保健、工作、娱乐和家庭等。不幸的是,拥有一个有价值的工具来发现这些见解仍然是一个艰巨的挑战。为了满足这一需求,我们推出了一个交互式多模式检索系统,旨在通过友好易用的web UI为人们提供记忆辅助和生活组织支持两种功能。前一个函数的输出是一个视频,其中的片段表达了人们想要回忆的事件的所有实例。后一种功能会生成每个事件的统计报告,以便人们可以有更多的信息来平衡他们的生活方式。该系统依赖于两种主要算法,它们试图将关键字/短语与图像匹配,并使用基于分水岭的方法运行基于集群的查询。
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