IDLP: International Collaboration to Advance User-oriented Technologies for Managing and Distributing Images in Digital Libraries

本项目将开发面向用户的数字图书馆分发技术的图像管理。来自美国、中国和台湾的计算机和信息科学家组成的跨学科团队将研究使用综合方法搜索数字图像集的有效方法。美国研究小组由西蒙斯学院、宾夕法尼亚大学和宾夕法尼亚州立大学的师生组成。 本课题研究的技术领域有：（1）基于本体的图像检索，（2）基于机器学习的图像检索，包括基于对象的局部图像检索，（3）图像自动标注，（4）知识产权保护技术。该团队将使用真实世界的数字图书馆数据集来开发适合实际部署的面向用户的技术。 值得注意的是，该研究将利用现有的大量与中国第一位皇帝有关的各种分辨率的图像，具有巨大的文化意义，以及现有的丰富的描述信息。该项目将促进对数字图像管理和分发技术的理解。它可能会导致更有效和更有效的方法从大型集合中检索图像。它将通过提供自动图像注释来提供减少劳动密集型活动的方法。它将使高质量的图像收集更愿意联网分布的位置与访问模型和IP技术将由该项目开发。该项目对解决面向用户的图像相关技术问题具有普遍意义。由此产生的技术可以应用于其他学科内容以及技术驱动的领域，如计算机视觉。其积极的广泛影响将包括加强数字图书馆研究的国际基础设施，提供比现在更大规模的文化和遗产的普遍访问，并扩大全球数字图书馆研究界的参与。 该项目还将通过培训跨学科研究生和为本科生提供新的跨学科课程来满足国家对科学家的需求。 这一国际伙伴关系将促进小学院和少数民族学生参与这类先进的多学科研究。

This project will develop user-oriented image management of distribution technologies for digital libraries. An interdisciplinary team of computer and information scientists from US, China, and Taiwan will investigate efficient ways to search digital collections of images using an integrated approach. The US team of researchers consists of faculty members and students of Simmons College, University of Pennsylvania, and The Pennsylvania State University. Several technology areas will be studied: (1) ontology-based image retrieval, (2) machine learning based image retrieval including object-based partial image search, (3) automatic image annotation, and (4) intellectual property (IP) protection techniques. The team will use real-world digital library datasets to develop user-oriented technologies suitable for practical deployment. Notably, the research will utilize an existing collection consisting of a large quantity of images associated with the first Emperor of China of all types of resolution and with enormous cultural significance as well as the existing rich descriptive information.This project will advance understanding of digital imagery management and distribution technologies. It is likely to result in more efficient and effective methods for retrieving images from large collections. It will provide means to decrease labor-intensive activities by providing automatic image annotations. It will enable more willing networking of quality image collections in distributed locations with the access model and IP techniques to be developed by the project. The project has significance for addressing the issue of user-oriented image-related technologies in a general way. The resulting techniques can be applied to other subject contents as well as technology-driven domains, such as computer vision.Among the positive broader impacts will be enhancement of the international infrastructure for digital library research, providing larger-scale universal access to culture and heritages than what is possible now, and expanding the participation of the global digital library research community. This project will also address the national need for scientists by training interdisciplinary graduate students and by offering new interdisciplinary courses for undergraduate students. This international partnership will promote the involvement of small college and minority students in this type of advanced multidisciplinary research.