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ImWeb: cross-platform immersive web browsing for online 3D neuron database exploration

conferencePaper

DOI:10.1145/3301275.3302319
Authors: Fulmer Willis / Mahmood Tahir / Li Zhongyu / Zhang Shaoting / Huang Jian / Lu Aidong

Extracted Abstract:

Web services have become one major way for people to obtain and explore information nowadays. However, web browsers currently only offer limited data analysis capabilities, especially for large- scale 3D datasets. This project presents a method of immersive web browsing (ImWeb) to enable effective exploration of multiple datasets over the web with augmented reality (AR) techniques. The ImWeb system allows inputs from both the web browser and AR and provides a set of immersive analytics methods for enhanced web browsing, exploration, comparison, and summary tasks. We have also integrated 3D neuron mining and abstraction approaches to support efficient analysis functions. The architecture of ImWeb system flexibly separates the tasks on web browser and AR and supports smooth networking among the system, so that ImWeb can be adopted by different platforms, such as desktops, large displays, and tablets. We use an online 3D neuron database to demonstrate that ImWeb enables new experiences of exploring 3D datasets over the web. We expect that our approach can be applied to various other online databases and become one useful addition to future web services. CCS CONCEPTS •Human-centered computing→Mixed / augmented reality; Visualization techniques; Web-based interaction. KEYWORDS Immersive web browsing, augmented reality, visual analytics, on- line database, 3D neuron exploration ACM Reference Format: Willis Fulmer, Tahir Mahmood, Zhongyu Li, Shaoting Zhang, Jian Huang, and Aidong Lu. 2019. ImWeb: Cross-Platform Immersive Web Browsing for ∗ Corresponding author Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. IUI ’19, March 17–20, 2019, Marina del Rey, CA, USA ©2019 Association for Computing Machinery. ACM ISBN 978-1-4503-6272-6/19/03. . . $15.00 https://doi.org/10.1145/3301275.3302319 Online 3D Neuron Database Exploration. InProceedings of ACM IUI (IUI ’19).ACM, New York, NY, USA, Article 4, 12 pages. https://doi.org/10.1145/ 3301275.3302319 1

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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