Visual Image Retrieval & Localization Tool

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This document introduces VIRaL, a web-based image retrieval and localization system. VIRaL aims to retrieve visually similar images from a collection of over 1.1 million geotagged photos depicting urban landscapes. It can then localize a user's query photo by determining the location and identifying landmarks, linking them to Wikipedia entries. The system performs these tasks in under 4 seconds on average.

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Visual Image Retrieval & Localization http://viral.image.ntua.gr/ Natasa Sofou National Technical University of Athens EUScreen Workshop, Mykonos, 24 June 2010

A brief introduction ,[object Object],[object Object],[object Object]

The basic idea ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Let’s collect photos… ,[object Object],[object Object],[object Object],[object Object]

e.g. from London… ,[object Object],W 0°5’31” N51°31’12” N51°29’35” ~25km 2

in (almost) real-time!!! ,[object Object],[object Object]

[object Object],Now: a stroll around Thames… Phivos ... and their photos!!!

3. Group wrt time, location & similarity

[object Object],[object Object],london eye thames london bus tate gallery millenium bridge st pauls cathedral thames river tower bridge 4. Add tags & arrange like a photo album

[object Object],london eye thames phivos tower bridge natasa natasa 5. Add tags to regions & names to faces

[object Object],my friends my network Phivos June 08 Yiannis May 03 Kostas May 05 Maria Jan 01 albums i can access Now, when I go to London…

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Visual Image Retrieval & Localization Tool

1. Visual Image Retrieval & Localization http://viral.image.ntua.gr/ Natasa Sofou National Technical University of Athens EUScreen Workshop, Mykonos, 24 June 2010

6. and build a tool...

7. that uses visual similarity...

8. under any viewpoint...

9. ... to localize any user photo

10. ... to identify landmarks

11. ... & link them to Wikipedia

12.

13. VIRaL http:// viral.image.ntua.gr

14.

15. 1. Localize Phivos’s photos on the map

16. 2. Align with Natasa’s photostream

17. 3. Group wrt time, location & similarity