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Balanced sampling and compression for remote visualization

Authors:

Steffen Frey,

Filip Sadlo,

Thomas ErtlAuthors Info & Claims

SA '15: SIGGRAPH Asia 2015 Visualization in High Performance Computing

Article No.: 1, Pages 1 - 4

https://doi.org/10.1145/2818517.2818529

Published: 02 November 2015 Publication History

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Abstract

We present a novel approach for handling sampling and compression in remote visualization in an integrative fashion. As adaptive sampling and compression share the same underlying concepts and criteria, the times spent for visualization and transfer can be balanced directly to optimize the image quality that can be achieved within a prescribed time window. Our dynamic adjustments regarding adaptive sampling, compression, and balancing, employ regression analysis-based error estimation which is carried out individually for each image block of a visualization frame. Our approach is tuned for high parallel efficiency in GPU-based remote visualization. We demonstrate its utility within a prototypical remote volume visualization pipeline by means of different datasets and configurations.

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Cited By

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Friess FBraun MBruder VFrey SReina GErtl T(2021)Foveated Encoding for Large High-Resolution DisplaysIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303044527:2(1850-1859)Online publication date: Feb-2021
https://doi.org/10.1109/TVCG.2020.3030445
Friers FBecher MReina GErtl T(2021)Amortised Encoding for Large High-Resolution Displays2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV)10.1109/LDAV53230.2021.00013(53-62)Online publication date: Oct-2021
https://doi.org/10.1109/LDAV53230.2021.00013
Mwalongo FKrone MReina GErtl TWeiskopf DBeck FDachsbacher CSadlo F(2018)Web-based volume rendering using progressive importance-based data transferProceedings of the Conference on Vision, Modeling, and Visualization10.2312/vmv.20181264(147-154)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.2312/vmv.20181264
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Index Terms

Balanced sampling and compression for remote visualization
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering
      1. Reflectance modeling

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Information

Published In

SA '15: SIGGRAPH Asia 2015 Visualization in High Performance Computing

November 2015

80 pages

ISBN:9781450339292

DOI:10.1145/2818517

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2015

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Funding Sources

German Research Foundation (DFG)

Conference

SA'15

SA'15: SIGGRAPH Asia 2015

November 2 - 6, 2015

Kobe, Japan

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

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Friess FBraun MBruder VFrey SReina GErtl T(2021)Foveated Encoding for Large High-Resolution DisplaysIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303044527:2(1850-1859)Online publication date: Feb-2021
https://doi.org/10.1109/TVCG.2020.3030445
Friers FBecher MReina GErtl T(2021)Amortised Encoding for Large High-Resolution Displays2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV)10.1109/LDAV53230.2021.00013(53-62)Online publication date: Oct-2021
https://doi.org/10.1109/LDAV53230.2021.00013
Mwalongo FKrone MReina GErtl TWeiskopf DBeck FDachsbacher CSadlo F(2018)Web-based volume rendering using progressive importance-based data transferProceedings of the Conference on Vision, Modeling, and Visualization10.2312/vmv.20181264(147-154)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.2312/vmv.20181264
Fries FLandwehr MBruder VFrey SErtl T(2018)Adaptive Encoder Settings for Interactive Remote Visualisation on High-Resolution Displays2018 IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV)10.1109/LDAV.2018.8739215(87-91)Online publication date: Oct-2018
https://doi.org/10.1109/LDAV.2018.8739215
Guthe SGoesele MGuthe MHullin MStamminger MWeinkauf T(2016)Variable length coding for GPU-based direct volume renderingProceedings of the Conference on Vision, Modeling and Visualization10.5555/3056901.3056915(77-84)Online publication date: 10-Oct-2016
https://dl.acm.org/doi/10.5555/3056901.3056915

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