Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1991996.1992044acmconferencesArticle/Chapter ViewAbstractPublication PagesicmrConference Proceedingsconference-collections
research-article

Finding locations of flickr resources using language models and similarity search

Published: 18 April 2011 Publication History

Abstract

We present a two-step approach to estimate where a given photo or video was taken, using only the tags that a user has assigned to it. In the first step, a language modeling approach is adopted to find the area which most likely contains the geographic location of the resource. In the subsequent second step, a precise location is determined within the area that was found to be most plausible. The main idea of this step is to compare the multimedia object under consideration with resources from the training set, for which the exact coordinates are known, and which were taken in that area. Our final estimation is then determined as a function of the coordinates of the most similar among these resources. Experimental results show this two-step approach to improve substantially over either language models or similarity search alone.

References

[1]
S. Ahern, M. Naaman, R. Nair, and J. H.-I. Yang. World explorer: visualizing aggregate data from unstructured text in geo-referenced collections. In Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries, pages 1--10, 2007.
[2]
M. Ames and M. Naaman. Why we tag: motivations for annotation in mobile and online media. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 971--980, 2007.
[3]
D. J. Crandall, L. Backstrom, D. Huttenlocher, and J. Kleinberg. Mapping the world's photos. In Proceedings of the 18th International Conference on World Wide Web, pages 761--770, 2009.
[4]
M. L. et al. Automatic tagging and geotagging in video collections and communities. In Proc. ACM ICMR, 2011.
[5]
M. Goodchild. Citizens as sensors: the world of volunteered geography. GeoJournal, 69:211--221, 2007.
[6]
J. H. Hays and A. A. Efros. IM2GPS: Estimating geographic information from a single image. In Proc. Computer Vision and Pattern Recognition, 2008.
[7]
L. Hollenstein and R. Purves. Exploring place through user-generated content: Using Flickr to describe city cores. Journal of Spatial Information Science, 1(1):21--48, 2010.
[8]
L. Kennedy and M. Naaman. Generating diverse and representative image search results for landmarks. In Proceeding of the 17th International Conference on World Wide Web, pages 297--306, 2008.
[9]
E. Moxley, J. Kleban, and B. Manjunath. Spirittagger: a geo-aware tag suggestion tool mined from Flickr. In Proceeding of the 1st ACM International Conf. on Multimedia Information Retrieval, pages 24--30, 2008.
[10]
A. Popescu and I. Kanellos. Creating visual summaries for geographic regions. In IR+SN Workshop (at ECIR), 2009.
[11]
T. Rattenbury and M. Naaman. Methods for extracting place semantics from flickr tags. ACM Transactions on the Web, 3(1):1--30, 2009.
[12]
P. Schmitz. Inducing ontology from Flickr tags. In Proceedings of the Collaborative Web Tagging Workshop, pages 210--214, 2006.
[13]
S. Schockaert and M. De Cock. Neighborhood restrictions in geographic IR. In Proc. ACM SIGIR, pages 167--174, 2007.
[14]
P. Serdyukov, V. Murdock, and R. van Zwol. Placing Flickr photos on a map. In Proc. ACM SIGIR, pages 484--491, 2009.
[15]
F. Wilske. Approximation of neighborhood boundaries using collaborative tagging systems. In Proceedings of the GI-Days, pages 179--187, 2008.
[16]
F. Wu and D. Weld. Automatically refining the Wikipedia infobox ontology. In Proceeding of the 17th International Conference on World Wide Web, pages 635--644, 2008.
[17]
C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to information retrieval. ACM Transactions on Information Systems, 22(2):179--214, 2004.

Cited By

View all
  • (2022)Urban Image Geo-Localization Using Open Data on Public SpacesProceedings of the 19th International Conference on Content-based Multimedia Indexing10.1145/3549555.3549589(50-56)Online publication date: 14-Sep-2022
  • (2022)Digital Library ApplicationsundefinedOnline publication date: 10-Mar-2022
  • (2021)Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location EstimationProceedings of the 2021 International Conference on Multimedia Retrieval10.1145/3460426.3463644(155-163)Online publication date: 24-Aug-2021
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
ICMR '11: Proceedings of the 1st ACM International Conference on Multimedia Retrieval
April 2011
512 pages
ISBN:9781450303361
DOI:10.1145/1991996
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2011

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. geo-annotation
  2. geographic information retrieval
  3. language models
  4. semi-structured knowledge

Qualifiers

  • Research-article

Conference

ICMR'11
Sponsor:

Acceptance Rates

Overall Acceptance Rate 254 of 830 submissions, 31%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 11 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2022)Urban Image Geo-Localization Using Open Data on Public SpacesProceedings of the 19th International Conference on Content-based Multimedia Indexing10.1145/3549555.3549589(50-56)Online publication date: 14-Sep-2022
  • (2022)Digital Library ApplicationsundefinedOnline publication date: 10-Mar-2022
  • (2021)Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location EstimationProceedings of the 2021 International Conference on Multimedia Retrieval10.1145/3460426.3463644(155-163)Online publication date: 24-Aug-2021
  • (2019)Geographical Entity Community Mining Based on Spatial and Semantic AssociationProceedings of the 3rd International Conference on Computer Science and Application Engineering10.1145/3331453.3361652(1-6)Online publication date: 22-Oct-2019
  • (2019)Method for Calculating Geographic Entity Relevance Based on Spatial and Semantic Association2019 International Conference on Data Mining Workshops (ICDMW)10.1109/ICDMW.2019.00076(490-496)Online publication date: Nov-2019
  • (2018)Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier LearningIEEE Transactions on Cybernetics10.1109/TCYB.2017.271279848:6(1682-1695)Online publication date: Jun-2018
  • (2017)Image Captioning in the WildProceedings of the Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes10.1145/3132515.3132522(21-29)Online publication date: 27-Oct-2017
  • (2017)Geotagging Text Content With Language Models and Feature MiningProceedings of the IEEE10.1109/JPROC.2017.2688799105:10(1971-1986)Online publication date: Oct-2017
  • (2016)In-depth Exploration of Geotagging Performance using Sampling Strategies on YFCC100MProceedings of the 2016 ACM Workshop on Multimedia COMMONS10.1145/2983554.2983558(3-10)Online publication date: 16-Oct-2016
  • (2016)A survey on Flickr multimedia research challengesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2016.01.00651:C(71-91)Online publication date: 1-May-2016
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media