Unique framework for video segmentation, and categorization applicable to traffic and medical environments

适用于交通和医疗环境的视频分割和分类的独特框架

• 批准号: RGPIN-2015-04588
• 负责人: Wu, Jonathan
• 金额: $ 3.42万
• 依托单位: University of Windsor
• 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=589891
• 关键词: Unique; framework; video; segmentation; categorization

Since the advent of digital media, it has been utilized in numerous ways to automate manual work and bring about efficiencies in different application areas. Video processing, among other media, has been one of the most sought-after technologies due to its power of representation. Videos are used in advertising, surveillance, traffic regulation, and entertainment virtually everywhere in the world. Thus, automatic processing of visual data has also seen increased popularity in research and technology. The main target of this project is in the sector of scene understanding, which is a central element of automatic video processing.

自数字媒体出现以来，它已被以多种方式用于自动化手动工作，并在不同的应用领域带来效率。在其他媒体中，视频处理由于其表现力而成为最受欢迎的技术之一。视频几乎在世界各地都被用于广告、监控、交通管制和娱乐。因此，视觉数据的自动处理在研究和技术中也越来越受欢迎。该项目的主要目标是场景理解领域，这是自动视频处理的核心要素。