Exquisitor at the Lifelog Search Challenge 2020

O. Khan, Mathias Dybkjær Larsen, Liam Alex Sonto Poulsen, Björn þór Jónsson, Jan Zahálka, S. Rudinac, D. Koelma, M. Worring
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引用次数: 15

Abstract

We present an enhanced version of Exquisitor, our interactive and scalable media exploration system. At its core, Exquisitor is an interactive learning system using relevance feedback on media items to build a model of the users' information need. Relying on efficient media representation and indexing, it facilitates real-time user interaction. The new features for the Lifelog Search Challenge 2020 include support for timeline browsing, search functionality for finding positive examples, and significant interface improvements. Participation in the Lifelog Search Challenge allows us to compare our paradigm, relying predominantly on interactive learning, with more traditional search-based multimedia retrieval systems.
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2020年生活日志搜索挑战赛的优秀设计师
我们推出了一个增强版的Exquisitor,我们的交互式和可扩展的媒体探索系统。在其核心,Exquisitor是一个交互式学习系统,使用媒体项目的相关性反馈来建立用户信息需求的模型。依靠高效的媒体表示和索引,它促进了实时用户交互。lifeelog搜索挑战2020的新功能包括支持时间轴浏览,查找积极示例的搜索功能,以及重大的界面改进。参与“生活日志搜索挑战”让我们能够比较主要依靠互动学习的范式与更传统的基于搜索的多媒体检索系统。
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FIRST - Flexible Interactive Retrieval SysTem for Visual Lifelog Exploration at LSC 2020 Voxento: A Prototype Voice-controlled Interactive Search Engine for Lifelogs Myscéal: An Experimental Interactive Lifelog Retrieval System for LSC'20 LifeSeeker 2.0: Interactive Lifelog Search Engine at LSC 2020 BIDAL-HCMUS@LSC2020: An Interactive Multimodal Lifelog Retrieval with Query-to-Sample Attention-based Search Engine
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