Taming media for the masses: Computational frameworks for intelligent digital media capture, management, and sharing

在这个项目中解决的核心问题是学习，识别和多媒体数据中的语义及其创建和使用的背景下的应用-在模式识别与许多应用的基础问题。该项目是多传感器处理和内容分析研究所的一部分，其目的是解决大规模模式识别中的技术问题。通过开发可扩展和强大的技术来从大规模多模态数据中提取信息，这些应用包括来自多模态数据的大规模监控系统（例如机场安全，老年人智能家居），上下文感知设备以及下一代媒体创建和再利用工具-经济的快速增长部门。

The core issues tackled in this project are learning, recognition and application of semantics in multimedia data and the context of its creation and use - a foundational issue in pattern recognition with many applications. The project is part of the Institute for Multi-sensor Processing and Content Analysis whose aim is to tackle technical issues in large scale pattern recognition. By developing scalable and robust techniques to extract information from large scale multi-modal data, the applications include large scale surveillance systems from multi-modal data (e.g. airport security, smart homes for the aged), context-aware devices, and the next generation of media creation and repurposing tools - a fast-growing sector of the economy.