Automatic video annotation by learning from web data

通过学习网络数据自动视频注释

• 批准号: FT180100116
• 负责人: Prof Dong Xu
• 金额: $ 68.58万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT180100116
• 关键词: Automatic; video; annotation; learning; web

This project aims to study next-generation video annotation technologies to automatically tag raw videos using a huge set of semantic concepts. The project will study new domain adaptation schemes and frameworks in order to substantially improve video annotation performance. The resulting prototype system can be directly used by ordinary users worldwide to search their personal videos using textual queries. The system is also applicable to video surveillance applications, which can enhance Australia’s homeland security.

该项目旨在研究下一代视频注释技术，使用大量语义概念自动标记原始视频。该项目将研究新的域适应方案和框架，以大幅提高视频注释性能。由此产生的原型系统可以直接用于全球普通用户使用文本查询搜索他们的个人视频。该系统还适用于视频监控应用，可以增强澳大利亚的国土安全。