Complex Visual Information Processing from Real-World Environments

真实世界环境中的复杂视觉信息处理

• 批准号: 355932-2013
• 负责人: Castelhano, Monica
• 金额: $ 2.11万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=572697
• 关键词: Complex; Visual; Information; Processing; Real

The world around us constantly changing and we have to keep up with that change. Whether it is driving in a car or searching for your wallet in the living room, our visual system has to be able to manage the incoming information and integrate relevant information from our memories. This project is aimed at investigating the underlying perceptual and cognitive processes that allow us to perform at such a high-level. In a series of experiments, two main processes will be addressed: the initial rapid processing that characterizes a scene in less than a single glance and the subsequent exploration (as we look around) that is oriented towards useful information. For each of these processes, my students and I will investigate what types of information are most important, how information is updated, and how previous knowledge affects how we see new information. The results of this investigation will expand our basic knowledge of how the visual system functions in complex environments and can be applied to developing artificial systems to successfully manage complex visual information (e.g., searching surveillance images for a specific target or sorting images by meaning) or towards the development of programs to help processing of complex visual information in special populations (e.g., ADHD, autism or older adults).

我们周围的世界在不断变化，我们必须跟上这种变化。 无论是开车还是在客厅里寻找钱包，我们的视觉系统都必须能够管理传入的信息，并整合我们记忆中的相关信息。 该项目旨在调查潜在的感知和认知过程，使我们能够在这样一个高水平上进行。 在一系列的实验中，将解决两个主要过程：最初的快速处理，在不到一个单一的一瞥和随后的探索（当我们环顾四周），这是面向有用的信息。 对于这些过程中的每一个，我和我的学生将研究什么类型的信息是最重要的，信息是如何更新的，以及以前的知识如何影响我们如何看待新信息。这项研究的结果将扩大我们对视觉系统如何在复杂环境中发挥作用的基本知识，并可应用于开发人工系统，以成功地管理复杂的视觉信息（例如，搜索特定目标的监视图像或通过意义对图像进行分类）或开发程序以帮助处理特殊人群中的复杂视觉信息（例如，ADHD、自闭症或老年人）。