Hoang-Phuc Trang-Trung, Thanh-Cong Le, Mai-Khiem Tran, Van-Tu Ninh, Tu-Khiem Le, C. Gurrin, Minh-Triet Tran
{"title":"Flexible Interactive Retrieval SysTem 2.0 for Visual Lifelog Exploration at LSC 2021","authors":"Hoang-Phuc Trang-Trung, Thanh-Cong Le, Mai-Khiem Tran, Van-Tu Ninh, Tu-Khiem Le, C. Gurrin, Minh-Triet Tran","doi":"10.1145/3463948.3469072","DOIUrl":null,"url":null,"abstract":"With a huge collection of photos and video clips, it is essential to provide an efficient and easy-to-use system for users to retrieve moments of interest with a wide variation of query types. This motivates us to develop and upgrade our flexible interactive retrieval system for visual lifelog exploration. In this paper, we briefly introduce version 2 of our system with the following main features. Our system supports multiple modalities for interaction and query processing, including visual query by meta-data, text query and visual information matching based on a joint embedding model, scene clustering based on visual and location information, flexible temporal event navigation, and query expansion with visual examples. With the flexibility in system architecture, we expect our system can easily integrate new modules to enhance its functionalities.","PeriodicalId":150532,"journal":{"name":"Proceedings of the 4th Annual on Lifelog Search Challenge","volume":"237 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th Annual on Lifelog Search Challenge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3463948.3469072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
With a huge collection of photos and video clips, it is essential to provide an efficient and easy-to-use system for users to retrieve moments of interest with a wide variation of query types. This motivates us to develop and upgrade our flexible interactive retrieval system for visual lifelog exploration. In this paper, we briefly introduce version 2 of our system with the following main features. Our system supports multiple modalities for interaction and query processing, including visual query by meta-data, text query and visual information matching based on a joint embedding model, scene clustering based on visual and location information, flexible temporal event navigation, and query expansion with visual examples. With the flexibility in system architecture, we expect our system can easily integrate new modules to enhance its functionalities.