Paper Info
Title
ImWeb: cross-platform immersive web browsing for online 3D neuron database exploration
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.
Year
DOI
Venue
2019
10.1145/3301275.3302319
Proceedings of the 24th International Conference on Intelligent User Interfaces
Keywords
Field
DocType
3D neuron exploration, augmented reality, immersive web browsing, online database, visual analytics
Architecture,Abstraction,Online database,Computer science,Visual analytics,Augmented reality,Human–computer interaction,Web navigation,Cross-platform,Web service,Database
Conference
ISBN
Citations 
PageRank 
978-1-4503-6272-6
1
0.35
References 
Authors
28
6
Name
Order
Citations
PageRank
Willis Fulmer110.35
Tahir Mahmood220.69
Zhongyu Li3649.54
shaoting zhang4183192.08
Jian Huang585.18
Aidong Lu635330.18