Automatic video annotation by learning from web data

本项目旨在研究下一代视频标注技术，使用大量的语义概念自动标记原始视频。该项目将研究新的领域适应方案和框架，以大幅提高视频标注性能。由此产生的原型系统可以被世界各地的普通用户直接使用，通过文本查询来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。

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.