lifeeeker 3.0:面向LSC'21的交互式生活日志搜索引擎

Thao-Nhu Nguyen, Tu-Khiem Le, Van-Tu Ninh, M. Tran, Nguyen Thanh Binh, G. Healy, A. Caputo, C. Gurrin
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引用次数: 24

摘要

在本文中,我们提出了为LSC'21比较基准挑战而开发的交互式生活日志检索引擎。LifeSeeker 3.0交互式生活日志检索引擎是我们之前参与LSC'20 - LifeSeeker 2.0的系统的增强版本。该系统由都柏林城市大学和胡志明城市科学大学共同开发。lifeeeker 3.0的实现重点是使用带有视觉概念增强和三个加权词汇表的加权词袋模型,通过文本查询进行搜索和过滤。利用局部卷积特征包改进视觉相似性搜索;虽然改进了以前版本的性能,但增强了查询处理时间、结果显示和浏览支持。
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LifeSeeker 3.0: An Interactive Lifelog Search Engine for LSC'21
In this paper, we present the interactive lifelog retrieval engine developed for the LSC'21 comparative benchmarking challenge. The LifeSeeker 3.0 interactive lifelog retrieval engine is an enhanced version of our previous system participating in LSC'20 - LifeSeeker 2.0. The system is developed by both Dublin City University and the Ho Chi Minh City University of Science. The implementation of LifeSeeker 3.0 focuses on searching and filtering by text query using a weighted Bag-of-Words model with visual concept augmentation and three weighted vocabularies. The visual similarity search is improved using a bag of local convolutional features; while improving the previous version's performance, enhancing query processing time, result displaying, and browsing support.
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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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