Optimized streaming of large web 3D applications

In this paper, we present a web framework for optimizing the streaming of large 3D applications to allow an instant interaction independently from network bandwidth or available processing power of the rendering unit. Content that gets continuously refined is already state of the art for many web apps and improves the user experience. To also achieve this for web 3D applications, we combine the progressive transmission of geometry and texture data and additionally, we propose an overall rating function to control the priorities between different media transmission blocks. However, using streaming techniques usually results in low-quality visualizations of the 3D scenes until enough data has been loaded. Therefore, we introduce a novel method based on texture similarities that greatly reduces the amount of textures that must be transmitted while the visual quality of the scene remains almost the same even during loading.