并行分布式图像搜索引擎（ParaDISE）
The Parallel Distributed Image Search Engine (ParaDISE)
摘要：
图像检索是一项复杂的任务，根据任何特定领域（例如医疗环境）的上下文和用户需求而有所不同。通过文本进行搜索通常是不可能的或最佳的，并且通过视觉内容进行检索并不总是成功地对用户正在寻找的高级概念进行建模。现代图像检索技术由多个步骤组成，旨在从大规模数据集中检索信息，不仅基于全局图像外观，而且基于局部特征，如果可能的话，还基于视觉特征与文本或语义之间的联系。本文介绍了并行分布式图像搜索引擎（ParaDISE），一个图像检索系统，结合了视觉搜索与基于文本的检索，是作为开源和免费的。Paradise的主要设计理念是灵活性、可扩展性、可伸缩性和互操作性。这些概念构成的系统，能够在现实世界中的应用程序，并作为一个图像检索的研究平台。除了该系统的架构和实施，两个用例进行了描述，一个应用程序的ParaDISE从医学文献和医学图像检索的视觉特征评价的图像检索。未来的步骤包括创建一个开源社区，该社区将在现有部分的基础上贡献和扩展该平台。
英文摘要：
Image retrieval is a complex task that differs according to the context and the user requirements in any specific field, for example in a medical environment. Search by text is often not possible or optimal and retrieval by the visual content does not always succeed in modelling high-level concepts that a user is looking for. Modern image retrieval techniques consist of multiple steps and aim to retrieve information from large--scale datasets and not only based on global image appearance but local features and if possible in a connection between visual features and text or semantics. This paper presents the Parallel Distributed Image Search Engine (ParaDISE), an image retrieval system that combines visual search with text--based retrieval and that is available as open source and free of charge. The main design concepts of ParaDISE are flexibility, expandability, scalability and interoperability. These concepts constitute the system, able to be used both in real-world applications and as an image retrieval research platform. Apart from the architecture and the implementation of the system, two use cases are described, an application of ParaDISE in retrieval of images from the medical literature and a visual feature evaluation for medical image retrieval. Future steps include the creation of an open source community that will contribute and expand this platform based on the existing parts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
