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Scientific & Medical Visualization Workshop ParaViewWeb

Explore this workshop on ParaViewWeb, an open-source web framework for interactive 3D content visualization. Learn about handling large datasets, server-side rendering, and its applications in scientific visualization. Discover the key components, architecture, deployment options, and current implementation status. Dive into real-world integration examples and performance benchmarks. See how ParaViewWeb empowers collaborative visualization and data processing over the web.

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Scientific & Medical Visualization Workshop ParaViewWeb

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  1. Scientific & Medical Visualization WorkshopParaViewWeb Julien Jomier- Kitware June 21, 2010 Web3D - Paris

  2. Goals • Collaborative visualization • join a running visualization and share the same viewpoint and processing pipeline • Ease access to large infrastructure and data • Large dataset (Giga to Peta file size) • HPC processing capability in the data analysis • access through standard Web browser • Flexible enough to be able to evolve with the technologies and standards 2

  3. Open Source Visualization Tools • Visualization Toolkit (VTK) • C++ (5+M LOC), binding for Python, Java, TCL • Large community: Top 2%, 2500+ users • ParaView • Front-end to VTK • Parallel visualization • Qt-based • Scripting in Python Open-Source (BSD)

  4. How to bring 3D to the Web • Via Plugins • Flash • Java Applet • VRML, X3D, Collada, o3d • HTML5 • Something else ? How to handle large data ? 4

  5. How we solved those issues • Server side rendering • Only image delivery to the Web client • No plugin mandatory • Full JavaScript implementation • But Java or Flash can be use for better performances 5

  6. What is ParaViewWeb • Open Source web framework • Deliver interactive 3D web content • No plugin is mandatory • Compatible with any browser • No hardware constraint on the client side • Can be integrated in any existing web site • JavaScript or Flash or JavaApplet or a Mix • Can be used for collaborative 3D visualization 6

  7. 8 29

  8. What ParaViewWeb is good for • Access and visualize remote 3D data • VRML, OBJ, PLY, VTK, EnSight, DICOM, MHA... • Process and visualize large 3D dataset • The rendering and processing can be done on clusters • Ease access of complex infrastructure • Simply go to a web page from any computer • Collaboration • Several web client can share the same session. (data processing and viewpoints) 9

  9. How ParaViewWeb works • It is based on server side rendering and image shipping in an interactive manner • It is composed of 3 components • JavaScript library used in the browser to use the service • The web service that allow the user to create remote visualization session, data processing and ship images to the client in an efficient manner. • The application where the processing occurs which use ParaView as a backend. 10

  10. ParaView Web

  11. Architecture • JavaScript library + Renderer (JS/Java/Flash) • Web service (JSON-RPC + HTTP) • Processing and Rendering engine • Allow multi deployment configuration • (local, remote, distributed) 12

  12. Current implementation status • Set of custom applications • Fully featured Web application • Demonstration application for scientific visualization and data processing • Flow stream analysis along the space shuttle • Navigation in a 3D world with ray-casting rendering • Sample applications for learning purpose • Sandbox, Interactive JavaScript console... • Real world integration • MIDAS an online database will use it to visualize server data inside their web pages in 3D • the next EnVision* will use ParaViewWeb as engine *EnVision is made by Texas Advanced Computing Center and will use TeraGrid 13

  13. Scientific visualization

  14. 15

  15. First results • Simple to integrate into existing web sites • No client side constraints • Provide good environment for collaboration • Ease access to data and infrastructure • Ease to create your own application • Performance • Real time on LAN (90-50 fps) • Reasonable from Web across the country (50-20 fps) • Reasonable to poor across the atlantic (20-1 fps) 16

  16. Conclusion • Flexible and promising framework • We are in the process of • Adding new features: Geometry streaming • Following new standard: Web socket, WebGL... • We do have an idea on how to use it today... • but the community may find some other ways • Hybrid visualization http://www.webviz.org 17

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