Semantic Vectorisation: From Bitmaps to Intelligent Representations

这个创新项目的目标是为用语义丰富的矢量图形表示自然图像的开放问题提供一个解决方案。挑战在于识别图像和视频的关键视觉和时间元素，并有效地将视觉数据分解为忠实于原始数据、紧凑且可编辑的语义向量表示。该项目旨在研究新的位图到矢量的转换方法。期望开发一个框架，语义标签和超链接可以自动嵌入到可视化数据中。它希望率先创建一个图像网络，其中链接是在图像/视频区域。预计将提供新的图像简化、样式化和非真实感渲染方法。

The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.