标题： lifeXplore 在 Lifelog 搜索挑战赛 2020 中 显示英文标题

标题： lifeXplore at the Lifelog Search Challenge 2020

摘要： 自2018年首次举办以来，Lifelog Search Challenge（LSC）——一个用于检索生活日志时刻的互动竞赛——与年度ACM国际多媒体检索会议（ICMR）同时举行，并引起了国际关注。 为了使不断增长的公共生活日志数据集可搜索，多个团队开发了系统，在挑战中快速解决时间限制的查询。 鉴于我们参加了之前的两次LSC，即LSC2018和LSC2019，我们介绍了我们的lifeXplore系统——一种结合特征图浏览、概念搜索和过滤以及手绘草图的视频探索和检索工具。 该系统通过引入额外的深度概念YOLO9000、光学字符识别（OCR）以及添加统一采样作为系统传统底层镜头分割的替代方案进行了改进。 显示英文摘要

摘要： Since its first iteration in 2018, the Lifelog Search Challenge (LSC) - an interactive competition for retrieving lifelogging moments - is co-located at the annual ACM International Conference on Multimedia Retrieval (ICMR) and has drawn international attention. With the goal of making an ever growing public lifelogging dataset searchable, several teams develop systems for quickly solving time-limited queries during the challenge. Having participated in both previous LSC iterations, i.e. LSC2018 and LSC2019, we present our lifeXplore system - a video exploration and retrieval tool combining feature map browsing, concept search and filtering as well as hand-drawn sketching. The system is improved by including additional deep concept YOLO9000, optical character recognition (OCR) as well as adding uniform sampling as an alternative to the system's traditional underlying shot segmentation.