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Efficient Image Distribution on the Web - Instant Texturing for Collaborative Visualization of Virtual Environments

Topics: Augmented, Mixed and Virtual Environments; Augmented, Mixed and Virtual Environments; Collaborative Augmented, Mixed and Virtual Environments; Distributed Augmented, Mixed and Virtual Reality; Integration and Interoperation Between 3D Documents and Web/Multimedia Technologies, Including the Semantic Web; Interactive 3D Graphics for Mobile Devices Like Smartphones, PDAs and UMPCs; Real-Time Graphics; Real-Time Rendering

Authors: Michael Englert ; Yvonne Jung ; Jonas Etzold ; Marcel Klomann and Paul Grimm

Affiliation: Fulda University of Applied Sciences, Germany

ISBN: 978-989-758-087-1

Keyword(s): HTML5, WebGL, GPU Decoding, Mobile Devices, Progressive Image Transmission, Collaboration.

Related Ontology Subjects/Areas/Topics: Augmented, Mixed and Virtual Environments ; Computer Vision, Visualization and Computer Graphics ; Distributed Augmented, Mixed and Virtual Reality ; Integration and Interoperation Between 3D Documents and Web/Multimedia Technologies, Including the Semantic Web ; Interactive 3D Graphics for Mobile Devices Like Smartphones, PDAs and UMPCs ; Interactive Environments ; Real-Time Graphics ; Real-Time Rendering ; Rendering

Abstract: In this paper, we present a browser-based Web 3D application that allows an instant distribution of image data even over mobile networks as well as textured rendering of large image collections on mobile devices with restricted processing power. Applications utilizing a lot of image data require an adaptive technology to build responsive user interfaces. This applies especially for the use in mobile networks. Furthermore the up- and download of the massive amount of image data should be transmitted in a progressive manner to get an instant feedback. While people are used to instant reaction of web applications and do not care about the amount of data that has to be transferred, the instantaneous display of imperfect content that gets continuously refined is state of the art for many application areas on the web. However, standard 2D image transmission technologies are usually inappropriate within a 3D context. In 2D, image size as well as resolution are often set during the authoring phase, whereas in 3D applications size and displayed resolution of textured 3D objects depend on the virtual camera. Our GPUII approach (GPU-based Image Interlacing) follows a client-server architecture, which allows an instant distribution of new data while also reducing the CPU load and network traffic. (More)

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Paper citation in several formats:
Englert, M.; Jung, Y.; Etzold, J.; Klomann, M. and Grimm, P. (2015). Efficient Image Distribution on the Web - Instant Texturing for Collaborative Visualization of Virtual Environments.In Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015) ISBN 978-989-758-087-1, pages 478-485. DOI: 10.5220/0005345704780485

@conference{grapp15,
author={Michael Englert. and Yvonne Jung. and Jonas Etzold. and Marcel Klomann. and Paul Grimm.},
title={Efficient Image Distribution on the Web - Instant Texturing for Collaborative Visualization of Virtual Environments},
booktitle={Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015)},
year={2015},
pages={478-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005345704780485},
isbn={978-989-758-087-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2015)
TI - Efficient Image Distribution on the Web - Instant Texturing for Collaborative Visualization of Virtual Environments
SN - 978-989-758-087-1
AU - Englert, M.
AU - Jung, Y.
AU - Etzold, J.
AU - Klomann, M.
AU - Grimm, P.
PY - 2015
SP - 478
EP - 485
DO - 10.5220/0005345704780485

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