ViRMA: Virtual Reality Multimedia Analytics at LSC 2021

Aaron Duane, Björn þór Jónsson
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引用次数: 14

Abstract

In this paper we describe the first iteration of the ViRMA prototype system, a novel approach to multimedia analysis in virtual reality and inspired by the M3 data model. We intend to evaluate our approach via the Lifelog Search Challenge (LSC) to serve as a benchmark against other multimedia analytics systems.
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ViRMA:2021 年 LSC 虚拟现实多媒体分析展
在本文中,我们介绍了 ViRMA 原型系统的首次迭代,这是一种在虚拟现实中进行多媒体分析的新方法,其灵感来自 M3 数据模型。我们打算通过 "生活日志搜索挑战赛"(LSC)对我们的方法进行评估,以此作为其他多媒体分析系统的基准。
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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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