{"title":"An Interactive Multimodal Retrieval System for Memory Assistant and Life Organized Support","authors":"Van-Luon Tran, Anh-Vu Mai-Nguyen, Trong-Dat Phan, Anh-Khoa Vo, Minh-Son Dao, K. Zettsu","doi":"10.1145/3372278.3391934","DOIUrl":null,"url":null,"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.","PeriodicalId":158014,"journal":{"name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 International Conference on Multimedia Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3372278.3391934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.