Audio-visual object-based production for live events.

现场活动的基于视听对象的制作。在基于对象的工作流中，信号处理和机器学习技术对于提取和跟踪伴随媒体对象的元数据非常有用。更高级别的标签可以标记视频类别或类型，提供关于整个片段的语义信息，其中来自不同模式的互补数据倾向于增强可用性。相比之下，这个项目询问更详细的信息，这些信息可以帮助在创作的视听体验中构建和操作内容，例如演员的相对位置和几何形状或其他场景元素。此外，重点将是适用于现场制作环境的技术，例如，沉浸式和交互式3D视听媒体。

Audio-visual object-based production for live events. Signal processing and machine learning techniques are useful forextracting and tracking the metadata that accompanies media objects in an object-based workflow. Higher-level labelsmay tag the video category or genre giving semantic information about a piece as a whole, where complementary datafrom different modalities tends to enhance usability. In contrast, this project interrogates the more-detailed information thatcan assist in the construction and manipulation of content within an authored audio-visual experience, such as the relativelocation and geometry of actors or other scene elements. Furthermore, the focus will be towards techniques applicable ina live production setting, e.g., for immersive and interactive 3D audio-visual media.