Intelligent signal processing for future digital media systems

未来数字媒体系统的智能信号处理

• 批准号: 203034-2011
• 负责人: Plataniotis, Konstantinos
• 金额: $ 3.64万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=546224
• 关键词: Intelligent; signal; processing; future; digital

The objective of this proposal, entitled `Intelligent signal processing for future DIgital MEdia Systems', (I-DIMES) is to research promising ideas in the design, development and application of intelligent signal processing solutions that provide cognitive processing of digital content, model and analyze complex human behaviour, and facilitate autonomous recognition of context in a process-centric digital environment. This program attempts to provide answers to three interlaced problems, namely: (a) attention problem - how to extract the relevant digital information; (b) interface problem - what is the best way to present the information when the conditions have changed; and (c) application problem - what are the best uses for the extracted information. Thus, the long term research objectives of this proposal are to: (i) provide a comprehensive and systematic study of the links between digital content, context learning, situation awareness, activity recognition, and adaptation; (ii) devise a generalized processing framework for activity and behaviour recognition as part of a digital media environment. The short term objectives are to: (i) personalize access to visual content using end-users' preferences and profiles; (ii) organize content in order to enhance processing, retrieval, coding, and transmission of visual content; (iii) empower users through content and context fusion; (iv) introduce an integrity preservation and privacy enhancing framework; and (v) exploit novel applications of the developed solutions. In addition to having significant theoretical implications, the proposed research program has potential for social impact through the development of technological solutions for enhancing the life of individuals. To this end, an application scenario has been chosen to test the applicability of the proposed methodologies. The scenario comes from the field of EEG-based brain-computer interfaces and it will be used to test user-intention inference and cognitive processing recognition procedures.

这项题为“面向未来数字媒体系统的智能信号处理”的提案(I-DIMES)的目的是研究在设计、开发和应用智能信号处理解决方案方面有希望的想法，这些解决方案提供数字内容的认知处理，模拟和分析复杂的人类行为，并促进在以过程为中心的数字环境中自主识别上下文。该程序试图为三个相互交错的问题提供答案，即：(A)注意力问题--如何提取相关的数字信息；(B)接口问题--当条件改变时，以什么方式呈现信息的最佳方式；以及(C)应用问题--提取的信息的最佳用途是什么。因此，这项建议的长期研究目标是：(I)对数字内容、背景学习、情境意识、活动识别和适应之间的联系进行全面和系统的研究；(Ii)为活动和行为识别设计一个通用的处理框架，作为数字媒体环境的一部分。短期目标是：(1)利用终端用户的喜好和简档实现对可视内容的个性化访问；(2)组织内容，以加强对可视内容的处理、检索、编码和传输；(3)通过内容和背景融合赋予用户能力；(4)引入保护完整性和加强隐私的框架；(5)开发开发的解决方案的新应用。除了具有重大的理论意义外，拟议的研究计划还具有通过开发改善个人生活的技术解决方案来产生社会影响的潜力。为此，选择了一个应用场景来测试所提议的方法的适用性。该场景来自基于脑电的脑机接口领域，将用于测试用户意图推理和认知加工识别程序。