Automatic Semantic Analysis of 3D Content in Digital Repositories

3D技术的日益普及正在对这些技术的用户正在产生的内容量产生影响。随着网络上的图像、音乐和视频等内容的爆炸式增长，不难预测3D将成为下一个受到这种影响的内容类型。研究界一直在采取行动，以确保3D内容可以在数据库或存储库中存储和管理，以便各种用户可以访问。然而，在这些存储库中搜索3D内容并不是一件容易的事情。主要的问题是，虽然物理对象的数字3D表示是一种更准确的表示，但信息的存储方式意味着理解内容所代表的内容的自动化解决方案是一个未解决的挑战。为了解决这个问题，研究界已经创建了标记或“附加”附加信息到3D内容的方法，如对2D图像所做的那样，以支持计算机对3D内容表示的内容的理解。然而，这一过程目前很慢，因为它主要依赖于手动或半自动技术。该项目将通过研究最先进的机制来自动丰富3D内容，从而推进这些基本技术。这将通过关注文化遗产文物，特别是摄政时期的建筑装饰文物来实现，以了解文物的形状如何为我们提供有关它的信息（例如它的起源，艺术风格，生产方法）。目前，自动推断这种高级信息非常具有挑战性。因此，该项目将结合联合收割机在形状分析、语义网和文化遗产方面的专业知识，以开发创新技术，自动理解3D内容可能代表的内容。这个过程被称为“自动语义丰富”，并将允许3D内容链接到大量的信息和知识，这将有助于与其他信息建立联系。因此，在存储在数据库中的PB级信息中搜索最相关的3D内容项将得到相当大的改进。反过来，这将提高3D内容的可用性和用于不同目的的使用。例如，该项目将展示研究如何支持历史建筑的修复。

The increasing popularity of 3D technologies is having an impact on the amount of content that is being produced by users of these technologies. Witnessing the explosion of content such as images, music and videos available on the web, it is not difficult to predict that 3D will be the next type of content to undergo this effect. The research community has been taking action to ensure 3D content can be stored and managed in databases or repositories in order to be accessible to a wide variety of users. Nevertheless, searching for 3D content in these repositories is not an easy task. The main problem is that although a digital 3D representation of a physical object is a more accurate representation, the way that the information is stored means that automated solutions for understanding what the content represents is an unsolved challenged. To address this problem, the research community has created ways to tag or 'attach' additional information to the 3D content, as is done with 2D images, to support the computer's understanding of what the 3D content represents. However, this process is currently slow as it relies on mostly manual or semi-automatic techniques. This project will take these basic techniques forward by researching state of the art mechanisms to automate the enrichment of 3D content. This will be done by focusing on Cultural Heritage artefacts, in particular Regency architectural ornamental artefacts, to understand how the shape of an artefact might provide us with information about it (e.g. its origin, artistic style, production methods). It is currently very challenging to infer this high level information automatically. The project will thus combine expertise in shape analysis, the semantic web and Cultural Heritage in order to develop innovative techniques to automatically understand what the 3D content might represent. This process is referred to as "automatic semantic enrichment" and will allow the 3D content to be linked to a vast amount of information and knowledge which will facilitate making connections with other pieces of information. As a result, searching for the most relevant item of 3D content amongst the petabytes of information stored in the database will be considerably improved. In turn, this will improve the availability and use of 3D content for different purposes. For instance, the project will demonstrate how the research can support the restoration of historical buildings.