Automatic Semantic Analysis of 3D Content in Digital Repositories

3D技术的日益普及对这些技术的用户正在制作的内容数量产生了影响。随着网络上图像、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，以便各种各样的用户可以访问。然而，在这些存储库中搜索3D内容并不是一件容易的事。主要问题是，尽管物理对象的数字3D表示是一种更准确的表示，但信息存储的方式意味着用于理解内容所表示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，研究团体已经创造了一些方法来标记或“附加”额外的信息到3D内容上，就像对2D图像所做的那样，以支持计算机对3D内容所代表的内容的理解。然而，这个过程目前很慢，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化丰富3D内容，从而将这些基本技术向前推进。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，制作方法）。目前，自动推断这些高级信息是非常具有挑战性的。因此，该项目将结合形状分析、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”，它将使3D内容与大量的信息和知识联系起来，从而促进与其他信息的联系。因此，在数据库中存储的pb级信息中搜索最相关的3D内容项将大大提高。反过来，这将提高不同用途的3D内容的可用性和使用。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.