Flexible Interactive Retrieval SysTem 2.0 for Visual Lifelog Exploration at LSC 2021

Hoang-Phuc Trang-Trung, Thanh-Cong Le, Mai-Khiem Tran, Van-Tu Ninh, Tu-Khiem Le, C. Gurrin, Minh-Triet Tran
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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.
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面向生命日志可视化探索的柔性交互检索系统2.0
由于收集了大量的照片和视频剪辑,因此必须为用户提供一个高效且易于使用的系统,以便通过各种查询类型检索感兴趣的时刻。这促使我们开发和升级我们灵活的交互式检索系统,用于可视化的生活日志探索。在本文中,我们简要介绍了我们的系统的版本2,具有以下主要功能。我们的系统支持多种交互和查询处理方式,包括基于元数据的可视化查询、基于联合嵌入模型的文本查询和视觉信息匹配、基于视觉和位置信息的场景聚类、灵活的时间事件导航以及基于视觉示例的查询扩展。由于系统架构的灵活性,我们希望我们的系统可以很容易地集成新的模块,以增强其功能。
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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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