Predictive Modeling of User Interaction Patterns for 3D Mesh Streaming

Abstract

The complexity in 3D virtual environment over the web is growing rapidly every day. This 3D virtual environment comprises of set of structured static and dynamic scenes and each scene has multiple 3D objects/meshes. Therefore, the granular level in any 3D virtual environments is the object. In 3D virtual environment, it is required to give user interactions for every 3D object and at any point of time, it is enough if the system streams and brings in only the visible portion of the object from server to the client by utilizing the limited network bandwidth and the limited client memory space. This streaming would reduce the time to present the rendered object to the requested clients. Further to reduce the time and effectively utilize the bandwidth and memory space, in proposed work, an attempt is made to exploit the user interactions on 3D object and built a predictive model. The experiment result shows that the built predictive model minimizes the rendering latency of the 3D mesh that is being streamed to the possible extent. Also, the results convey that the reduction in time is subjected to the type of 3D object that is taken for streaming and rendering.