iART: An interactive analysis- and retrieval-tool for the support of image-oriented research processes

iART：一种交互式分析和检索工具，用于支持面向图像的研究过程

• 批准号: 415796915
• 负责人: Professor Dr. Ralph Ewerth
• 金额: --
• 依托单位: Technische Informationsbibliothek (TIB)
• 依托单位国家: 德国
• 项目类别: Research data and software (Scientific Library Services and Information Systems)
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/415796915?language=en
• 关键词: iART; interactive; analysis; retrieval; tool

The project "iART: An interactive analysis- and retrieval-tool for the support of image-oriented research processes" is devoted to the development of an e-Research-Tool for digitized, image-oriented research processes in the humanities and cultural sciences. It not only aims to improve the efficiency of retrieval in image databases but also offers various tools for analyzing image data, thereby enhancing scientific work and facilitating new theory formation. The motivation for the project stems from the fundamental importance of the comparative approach in art history, which targets the similarity of pictures and comes along with a rehabilitation of similarity thinking in contemporary philosophy of science. The tool iART is supposed to transfer the approach of art history theorists and practitioners of Comparative Analysis to the digital age, and to extend it by virtue of modern information technology. With the help of iART, the similarity-based analysis of images will be transferred to digital image repositories, automated to a large extent, and complemented by various additional functionalities. Automated pattern recognition based on machine learning will play a central role in this regard, especially for annotating images with metadata. This functionality will be complemented by tools for image retrieval (both keyword- and content-based), category formation (via clustering), as well as personalization based on user behavior and feedback. User queries as well as the presentation of results such as rankings of images (as an answer to a retrieval task) and clustering structures will be supported by a graphical interface. iART will be made available through the Internet, utilizable with common browsers, and transferable to other databases thanks to standardized interfaces. As an e-Research-Tool, it will significantly improve the efficiency of image-oriented research in the humanities, thereby supporting theory formation and triggering new research questions.

“iART：支持图像研究过程的交互式分析和检索工具”致力于为人文和文化科学中的数字化、图像研究过程开发电子研究工具。它不仅旨在提高图像数据库的检索效率，而且还提供了各种分析图像数据的工具，从而加强科学工作，促进新理论的形成。该项目的动机源于艺术史中比较方法的根本重要性，其目标是图像的相似性，并沿着当代科学哲学中相似性思维的复兴。iART的出现，是将艺术史理论家和实践者的比较分析方法转移到数字时代，并借助现代信息技术将其扩展。 在iART的帮助下，基于相似性的图像分析将转移到数字图像库，在很大程度上实现自动化，并辅之以各种其他功能。基于机器学习的自动模式识别将在这方面发挥核心作用，特别是在用元数据注释图像方面。这一功能将得到图像检索（基于关键字和内容）、类别形成（通过聚类）以及基于用户行为和反馈的个性化工具的补充。图形界面将支持用户查询以及图像排名（作为检索任务的答案）和聚类结构等结果的呈现。iART将通过互联网提供，可使用普通浏览器，并可通过标准化接口转移到其他数据库。作为一个电子研究工具，它将显着提高效率的图像为导向的研究在人文科学，从而支持理论的形成和引发新的研究问题。