ICDAR'20: Intelligent Cross-Data Analysis and Retrieval

Minh-Son Dao, M. Fjeld, F. Biljecki, U. Yavanoglu, M. Dong
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引用次数: 1

Abstract

The First International Workshop on "Intelligence Cross-Data Analytics and Retrieval" (ICDAR'20) welcomes any theoretical and practical works on intelligence cross-data analytics and retrieval to bring the smart-sustainable society to human beings. We have witnessed the era of big data where almost any event that happens is recorded and stored either distributedly or centrally. The utmost requirement here is that data came from different sources, and various domains must be harmonically analyzed to get their insights immediately towards giving the ability to be retrieved thoroughly. These emerging requirements lead to the need for interdisciplinary and multidisciplinary contributions that address different aspects of the problem, such as data collection, storage, protection, processing, and transmission, as well as knowledge discovery, retrieval, and security and privacy. Hence, the goal of the workshop is to attract researchers and experts in the areas of multimedia information retrieval, machine learning, AI, data science, event-based processing and analysis, multimodal multimedia content analysis, lifelog data analysis, urban computing, environmental science, atmospheric science, and security and privacy to tackle the issues as mentioned earlier.
ICDAR'20:智能交叉数据分析与检索
首届“智能跨数据分析与检索”国际研讨会(ICDAR'20)欢迎任何关于智能跨数据分析与检索的理论和实践工作,为人类带来智能可持续社会。我们已经见证了大数据时代,几乎所有发生的事件都以分布式或集中的方式记录和存储。这里的最大要求是数据来自不同的来源,并且必须协调地分析各个领域,以便立即获得见解,从而提供彻底检索的能力。这些新出现的需求导致需要跨学科和多学科的贡献,以解决问题的不同方面,例如数据收集、存储、保护、处理和传输,以及知识发现、检索、安全和隐私。因此,研讨会的目标是吸引多媒体信息检索、机器学习、人工智能、数据科学、基于事件的处理和分析、多模态多媒体内容分析、生活日志数据分析、城市计算、环境科学、大气科学、安全和隐私等领域的研究人员和专家来解决前面提到的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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