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

驯服大众媒体：智能数字媒体捕获、管理和共享的计算框架

• 批准号: DP0771132
• 负责人: Prof Svetha Venkatesh
• 金额: $ 24.97万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0771132
• 关键词: Taming; media; masses; Computational; frameworks

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.

该项目解决的核心问题是多媒体数据中语义的学习、识别和应用及其创建和使用的背景——这是具有许多应用的模式识别的基本问题。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。通过开发可扩展且强大的技术来从大规模多模态数据中提取信息，这些应用程序包括来自多模态数据的大规模监控系统（例如机场安全、老年智能家居）、情境感知设备以及下一代媒体创建和重新利用工具——一个快速增长的经济部门。