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Exploiting Social-Mobile Information for Location Visualization

Published:12 January 2017Publication History
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Abstract

With a smart phone at hand, it becomes easy now to snap pictures and publish them online with few lines of texts. The GPS coordinates and User-Generated Content (UGC) data embedded in the shared photos provide opportunities to exploit important knowledge to tackle interesting tasks like geographically organizing photos and location visualization. In this work, we propose to organize photos both geographically and semantically, and investigate the problem of location visualization from multiple semantic themes. The novel visualization scheme provides a rich display landscape for geographical exploration from versatile views. A two-level solution is presented, where we first identify the highly photographed places of interest (POI) and discover their focused themes, and then aggregate the lower-level POI themes to generate the higher-level city themes for location visualization. We have conducted experiments on crawled Flickr and Instagram data and exhibited the visualization for the cities of Singapore and Sydney. The experimental results have validated the proposed method and demonstrated the potentials of location visualization from multiple themes.

References

  1. Muhammad Salman Asif and Justin K. Romberg. 2009. Dynamic updating for L1 minimization. CoRR abs/0903.1443 (2009).Google ScholarGoogle Scholar
  2. S. P. Boyd and L. Vandenberghe. 2004. Convex Optimization. Cambridge University Press. Google ScholarGoogle ScholarCross RefCross Ref
  3. Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L. Boyd-Graber, and David M. Blei. 2009. Reading tea leaves: How humans interpret topic models. In Advances in Neural Information Processing Systems. 288--296.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. David J. Crandall, Lars Backstrom, Daniel P. Huttenlocher, and Jon M. Kleinberg. 2009. Mapping the world’s photos. In WWW. 761--770.Google ScholarGoogle Scholar
  5. Alberto Del Bimbo, K. Selcuk Candan, Jiebo Luo, Tao Mei, Nicu Sebe, Heng Tao Shen, Cees GM Snoek, Rong Yan, and others. 2014. Guest editorial special section on socio-mobile media analysis and retrieval. IEEE Trans. Multimedia 3, 16 (2014), 586--587.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Quan Fang, Jitao Sang, and Changsheng Xu. 2013a. Giant: Geo-informative attributes for location recognition and exploration. In Proceedings of the 21st ACM International Conference on Multimedia. ACM, 13--22. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Quan Fang, Jitao Sang, Changsheng Xu, and Ke Lu. 2013b. Paint the city colorfully: Location visualization from multiple themes. In MMM. 92--105.Google ScholarGoogle Scholar
  8. Brendan J. Frey and Delbert Dueck. 2007. Clustering by passing messages between data points. Science 315 (2007), 972--976. Google ScholarGoogle ScholarCross RefCross Ref
  9. Yue Gao, Jinhui Tang, Richang Hong, Qionghai Dai, Tat-Seng Chua, and Ramesh Jain. 2010. W2Go: A travel guidance system by automatic landmark ranking. In Proceedings of the 18th ACM International Conference on Multimedia. ACM, 123--132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Qiang Hao, Rui Cai, Changhu Wang, Rong Xiao, Jiang-Ming Yang, Yanwei Pang, and Lei Zhang. 2010. Equip tourists with knowledge mined from travelogues. In WWW. 401--410.Google ScholarGoogle Scholar
  11. Claudia Hauff and Geert-Jan Houben. 2012a. Geo-location estimation of Flickr images: Social web based enrichment. In ECIR. 85--96.Google ScholarGoogle Scholar
  12. Claudia Hauff and Geert-Jan Houben. 2012b. Placing images on the world map: A microblog-based enrichment approach. In SIGIR. 691--700. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. James Hays and Alexei A. Efros. 2008. im2gps: Estimating geographic information from a single image. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Google ScholarGoogle ScholarCross RefCross Ref
  14. Alexander Jaffe, Mor Naaman, Tamir Tassa, and Marc Davis. 2006. Generating summaries and visualization for large collections of geo-referenced photographs. In Multimedia Information Retrieval. 89--98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, Junsong Yuan, Yong Rui, and Wen Gao. 2012. Location discriminative vocabulary coding for mobile landmark search. Int. J. Comput. Vision 96, 3 (2012), 290--314. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Rongrong Ji, Yue Gao, Bineng Zhong, Hongxun Yao, and Qi Tian. 2011. Mining Flickr landmarks by modeling reconstruction sparsity. TOMCCAP 7, Supplement (2011), 31. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Lyndon S. Kennedy and Mor Naaman. 2008. Generating diverse and representative image search results for landmarks. In WWW. 297--306.Google ScholarGoogle Scholar
  18. Lyndon S. Kennedy, Mor Naaman, Shane Ahern, Rahul Nair, and Tye Rattenbury. 2007. How Flickr helps us make sense of the world: Context and content in community-contributed media collections. In ACM Multimedia. 631--640.Google ScholarGoogle Scholar
  19. Jey Han Lau, Karl Grieser, David Newman, and Timothy Baldwin. 2011. Automatic labelling of topic models. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1. 1536--1545.Google ScholarGoogle Scholar
  20. Heng Liu, Tao Mei, Jiebo Luo, Houqiang Li, and Shipeng Li. 2012b. Finding perfect rendezvous on the go: Accurate mobile visual localization and its applications to routing. In ACM Multimedia. 9--18.Google ScholarGoogle Scholar
  21. Jiajun Liu, Zi Huang, Lei Chen, Heng Tao Shen, and Zhixian Yan. 2012a. Discovering areas of interest with geo-tagged images and check-ins. In ACM Multimedia. 589--598. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Jiebo Luo, Dhiraj Joshi, Jie Yu, and Andrew C. Gallagher. 2011. Geotagging in multimedia and computer vision - A survey. Multimedia Tools Appl. 51, 1 (2011), 187--211. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Mor Naaman, Yee Jiun Song, Andreas Paepcke, and Hector Garcia Molina. 2004. Automatic organization for digital photographs with geographic coordinates. In Proceedings of the Fourth ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2004) (June 2004). http://ilpubs.stanford.edu:8090/766/.Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Symeon Papadopoulos, Christos Zigkolis, Stefanos Kapiris, Yiannis Kompatsiaris, and Athena Vakali. 2010. ClustTour: City exploration by use of hybrid photo clustering. In ACM Multimedia. 1617--1620.Google ScholarGoogle Scholar
  25. Till Quack, Bastian Leibe, and Luc J. Van Gool. 2008. World-scale mining of objects and events from community photo collections. In CIVR. 47--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Daniel Ramage, Christopher D. Manning, and Susan Dumais. 2011. Partially labeled topic models for interpretable text mining. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 457--465. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Tye Rattenbury and Mor Naaman. 2009. Methods for extracting place semantics from Flickr tags. TWEB 3, 1 (2009), 1.Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Pavel Serdyukov, Vanessa Murdock, and Roelof van Zwol. 2009. Placing Flickr photos on a map. In SIGIR. 484--491. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. John Wright, Allen Y. Yang, Arvind Ganesh, Shankar S. Sastry, and Yi Ma. 2009. Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 31, 2 (2009), 210--227. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Felix X. Yu, Rongrong Ji, and Shih-Fu Chang. 2011. Active query sensing for mobile location search. In ACM Multimedia. 3--12.Google ScholarGoogle Scholar
  31. Ying Zhao and George Karypis. 2001. Criterion functions for document clustering: Experiments and analysis. Machine Learning.Google ScholarGoogle Scholar
  32. Yan-Tao Zheng, Zheng-Jun Zha, and Tat-Seng Chua. 2011. Research and applications on georeferenced multimedia: A survey. Multimedia Tools Appl. 51, 1 (2011), 77--98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Yan-Tao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, and Hartmut Neven. June, 2009. Tour the world: Building a web-scale landmark recognition engine. In Proceedings of International Conference on Computer Vision and Pattern Recognition. DOI:http://dx.doi.org/10.1145/1291233.1291448 Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Transactions on Intelligent Systems and Technology
      ACM Transactions on Intelligent Systems and Technology  Volume 8, Issue 3
      Special Issue: Mobile Social Multimedia Analytics in the Big Data Era and Regular Papers
      May 2017
      320 pages
      ISSN:2157-6904
      EISSN:2157-6912
      DOI:10.1145/3040485
      • Editor:
      • Yu Zheng
      Issue’s Table of Contents

      Copyright © 2017 ACM

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      New York, NY, United States

      Publication History

      • Published: 12 January 2017
      • Accepted: 1 September 2016
      • Received: 1 June 2015
      Published in tist Volume 8, Issue 3

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