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An image-based outdoor place recognition and information retrieval system

Published: 29 September 2007 Publication History

Abstract

In image-based place recognition, an image is used to deduce the location of the viewer during image acquisition. The identified place can subsequently be used to provide additional information to the user. This demonstration paper briefly describes a system that performs image-based place recognition on outdoor images, made possible by viewer-centric data sampling and local feature-based scene identification. It also explains our proposed demonstration that displays the recognized place on a map and provides information of amenities in its vicinity.

References

[1]
D. G. Lowe. "Distinctive image features from scale-invariant keypoints," Intl. Jnl. Computer Vision, 60(2): 91--110, 2003.
[2]
M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker, "Query by image and video content: the QBIC system," IEEE Computer, vol. 28, no. 9, pp. 23--32, September, 1995.
[3]
Autostitch™: Available online at {http://www.autostitch.net}.
[4]
M. Brown and D. G. Lowe. "Recognising panoramas," In Proc of. 9th Intl. Conf. on Computer Vision, 1218--1225, Nice, France, October 2003.

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cover image ACM Conferences
MM '07: Proceedings of the 15th ACM international conference on Multimedia
September 2007
1115 pages
ISBN:9781595937025
DOI:10.1145/1291233
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 [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 September 2007

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  1. information retrieval
  2. place recognition
  3. scene identification

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MM07

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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