lifeXplore at the Lifelog Search Challenge 2020

Andreas Leibetseder, Klaus Schöffmann
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引用次数: 13

Abstract

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.
2020年生活日志搜索挑战赛上的lifeXplore
自2018年第一次迭代以来,生活日志搜索挑战(LSC) -一项检索生活日志时刻的互动竞赛-在年度ACM多媒体检索国际会议(ICMR)上共同举办,并引起了国际关注。为了使不断增长的公共生活记录数据集可搜索,几个团队开发了系统,以便在挑战期间快速解决有时间限制的查询。在参与了LSC2018和LSC2019之前的两次LSC迭代之后,我们展示了我们的lifeXplore系统——一个集特征地图浏览、概念搜索和过滤以及手绘素描于一体的视频探索和检索工具。该系统通过加入额外的深层概念YOLO9000,光学字符识别(OCR)以及添加均匀采样作为系统传统底层镜头分割的替代方案来改进。
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