Prediction-based Prefetching for Remote Rendering Streaming in Mobile Virtual Environments

Lazem, Shaimaa; Elteir, Marwa K.; Abdel-Hamid, Ayman; Gracanm, D.

doi:10.1109/isspit.2007.4458059

Cited by 6 publications

(2 citation statements)

References 9 publications

(14 reference statements)

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“…And then, prediction ideology is also be used for various types of render. For remote image-based rendering (IBR) [12] in mobile virtual environments, Lazeml et al [10] propose a prefetching scheme that predicts the client potential path based on the movement history using a linear prediction model. The server then sends one predicted image with every position update for the client, which reduces the server load and improves the system scalability.…”

Section: Related Workmentioning

confidence: 99%

A Statistics Based Prediction Method for Rendering Application

et al. 2016

Lecture Notes in Computer Science

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As an interesting commercial application, rendering plays an important role in the field of animation and movie production. Generally, render farm is used to rendering mass images concurrently according to the independence among frames. How to scheduling and manage various rendering jobs efficiently is a significant issue for render farm. Therefore, the prediction of rendering time for frames is relevant for scheduling, which offers the reference and basis for scheduling method. In this paper a statistics based prediction method is addressed. Initially, appropriate parameters which affect the rendering time are extracted and analyzed according to parsing blend formatted files which offers a general description for synthetic scene. Then, the sample data are gathered by open source software Blender and J48 classification algorithm is used for predicting rendering time. The experimental results show that the proposed method improve the prediction accuracy about 60% and 75.74% for training set and test set, which provides reasonable basis for scheduling jobs efficiently and saving rendering cost.

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Section: Related Workmentioning

confidence: 99%

A Statistics Based Prediction Method for Rendering Application

et al. 2016

Lecture Notes in Computer Science

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“…To get reference images well suited for warping, a viewpoint prediction algorithm is used [24]. Prediction/prefetching algorithms for server-side image-based prerendering are also studied by Lazem et al [12].…”

Section: Related Workmentioning

confidence: 99%

Towards peer-assisted rendering in networked virtual environments

Zhu

Morin

Ooi

et al. 2011

Proceedings of the 19th ACM International Conference on Multimedia

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This paper introduces a new technique, called peer-assisted rendering, that aims to enable interactive navigation in a 3D networked virtual environment using a resource-constrained device, by speeding up the rendering. A resource-constrained client requests part of the rendered scenes from other peers with similar viewpoints within the virtual environment, and merges the rendered parts into its own view. This approach is more scalable than previous solutions based on server-based pre-rendering. The goal of this paper is to make a strong case for the feasibility of peer-assisted rendering through the following two messages. First, by analyzing a large number of user traces from a popular virtual world called Second Life, we show that there are surprisingly many users with similar viewpoints and encompass large number of common objects in their viewing areas, indicating that a client can potentially find multiple other peers that can assist in rendering. Second, by combining three different rendering methods, each contributing to rendering of different classes of objects in the scene, we show that it is possible for a client to render the scene efficiently with little visual artifacts.

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