CRI: CRD: Public web-based photo-collections as a research testbed

CRI：CRD：公共网络照片集作为研究测试平台

• 批准号: 0708895
• 负责人: Todd Zickler
• 金额: $ 50万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0708895&HistoricalAwards=false
• 关键词: CRI; CRD; Public; web; based

Rapid development of digital imaging technology has created a flood of images being collected, sorted, searched and shared over the Internet. This in turn has led to the acceleration of research in systems for content-based image management. Such systems necessarily rely on computer vision and image processing for the extraction of image descriptors, the detection of objects and faces, image similarity measures, classification algorithms, etc. While many methods have been proposed, progress is being stifled by insufficient access to `real' image collections for testing and a lack of practical tools for evaluation. At the moment, tools for object/scene detection, visual search, and database navigation are being evaluated on small (somewhat arbitrary) collections of images, and if at all, using a very small number of users.This proposal seeks funding to develop a resource for the computer vision and image processing communities consisting of a public web-based photo collection. To a public user, it will be presented as a state-of-the-art online system for organizing, searching and sharing personal photos. It's true purpose will be for researchers, however, to whom it will provide a large `real' database of images for testing, and a large pool of unbiased users for evaluation. By exploiting the blossoming public demand for web-based image services, this resource will provide the ability to develop and evaluate individual components of content-based image management systems at an unprecedented scale.In addition to providing this research resource, the proposed system will enable unique educational experiences for students in computer science and engineering. For this purpose, the system will include a secondary `online laboratory' that is accessible from the principal website and allows consenting public users to try experimental services. This `online laboratory' will give students the ability to implement and test their projects---not only in the areas of computer vision and image processing, but in areas such as peer-to-peer systems, distributed computing, programming languages, security and privacy, and interface design.Progress reports for this project will be regularly updated at http://www.eecs.harvard.edu/~zickler.

数字成像技术的快速开发造成了通过互联网收集，分类，搜索和共享的大量图像。反过来，这导致了基于内容的图像管理系统的研究加速。这样的系统必然依靠计算机视觉和图像处理来提取图像描述符，对象和面部的检测，图像相似性度量，分类算法等。虽然已经提出了许多方法，但由于无法获得“真实”图像收集的访问和缺乏实际评估工具，因此无法遇到进度。目前，正在对对象/场景检测，视觉搜索和数据库导航进行评估的工具正在评估图像的小（有点任意）集合，如果有的话，使用少数用户。此提案寻求资金来为计算机视觉和图像处理社区开发资源，这些资源由公共网络基于公共网络的照片收集。对于公共用户，它将作为一个最先进的在线系统，用于组织，搜索和共享个人照片。这是真正的目的是对于研究人员，它将为其提供大量的“真实”图像数据库进行测试，并提供大量的无偏见用户进行评估。通过利用公众对基于Web的图像服务的蓬勃发展，该资源将提供以前所未有的规模开发和评估基于内容的图像管理系统的各个组件的能力。在提供此研究资源的情况下，该系统将为计算机科学和工程学学生提供独特的教育体验。为此，该系统将包括一个辅助“在线实验室”，该系统可从主要网站访问，并允许同意的公共用户尝试实验服务。这个“在线实验室”将使学生能够实施和测试他们的项目 - 不仅在计算机视觉和图像处理领域，而且在诸如点对点系统，分布式计算，编程语言，安全性和隐私等领域。