Abstract
This paper demonstrates Stella; an efficient crowdsourcing-based geotagging framework for any types of objects. In this demonstration, we showcase the effectiveness of Stella in geotagging images via two different scenarios: (1) we provide a graphical interface to show the process of a geotagging process that have been done by using Amazon Mechanical Turk, (2) we seek help from the conference attendees to propose an image to be geotagged or to help us geotag an image by using our application during the demonstration period. At the end of the demonstration period, we will show the geotagging result.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1969-1972 |
| Number of pages | 4 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 10 |
| Issue number | 12 |
| DOIs | |
| State | Published - Aug 1 2017 |
| Event | 43rd International Conference on Very Large Data Bases, VLDB 2017 - Munich, Germany Duration: Aug 28 2017 → Sep 1 2017 |
Bibliographical note
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