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Social Interactions over Location-Aware Multimedia Systems

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Multimedia Data Mining and Analytics

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Abstract

Advancements in positioning techniques and mobile communications have enabled location-based services with a broad range of location-aware multimedia applications. Accordingly, various social multimedia data, relevant to different aspects of users’ daily life, is aggregated over time on the Internet. Such location-aware multimedia data contains rich context of users and has two implications: individual user interest and geographic-social behaviors. Exploiting these multimedia landscapes helps mine personal preferences, geographic interests and social connections, and brings the opportunities of discovering more interesting topics. In this chapter, we first introduce some examples of location-aware multimedia data and social interaction data. Then, we report some latest methods related to context detection and location-aware multimedia applications. We further present some analysis of geo-social data. Finally, we point out the trend in the integration of social and content delivery networks. In brief, this chapter delivers a picture of emerging geographic-aware multimedia technologies and applications, with location information as a clue.

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Notes

  1. 1.

    Many social networking services allow users to self-report presence (known as check in) to a physical place and share their locations with their friends. Refer to http://en.wikipedia.org/wiki/Check-in.

  2. 2.

    https://www.flickr.com/.

  3. 3.

    Geo-tagging is the process of adding geographical identification metadata to various media data. Refer to http://en.wikipedia.org/wiki/Geotagging.

  4. 4.

    https://foursquare.com/.

  5. 5.

    https://twitter.com/.

  6. 6.

    http://irevolution.net/2012/07/30/collaborative-social-media-analysis/.

  7. 7.

    http://bit.ly/ThGnOc.

  8. 8.

    http://www.streamsend.com/.

References

  1. Pallis G, Vakali A (2006) Insight and perspectives for content delivery networks. Commun ACM 49(1):101–106

    Article  Google Scholar 

  2. Boyd DM, Ellison NB (2007) Social network sites: definition, history, and scholarship. J Comput-Mediat Commun 13(1):210–230

    Article  Google Scholar 

  3. Junglas IA, Watson RT (2008) Location-based services. Commun ACM 51(3):65–69

    Article  Google Scholar 

  4. Brodersen A, Scellato S, Wattenhofer M (2012) YouTube around the world: geographic popularity of videos. In: WWW’12, pp 241–250

    Google Scholar 

  5. Shen ZJ, Arslan Ay S, Kim SH, Zimmermann R (2011) Automatic tag generation and ranking for sensor-rich outdoor videos. In: ACM Multimedia’11, pp 93–102

    Google Scholar 

  6. Ma H, Zimmermann R, Kim SH (2012) HUGVid: handling, indexing and querying of uncertain geo-tagged videos. In: ACM SIGSPATIAL’12, pp 319–328

    Google Scholar 

  7. Yu Y, Shen, ZJ, Zimmermann R (2012) Automatic music soundtrack generation for outdoor videos from contextual sensor information. In: ACM Multimedia’12, pp 1377–1378

    Google Scholar 

  8. Shah RR, Yu Y, Zimmermann R (2014) User preference-aware music video generation based on modeling scene moods. In: ACM MMSys’14, pp 156–159

    Google Scholar 

  9. Shah RR, Yu Y, Zimmermann R (2014) ADVISOR-personalized video soundtrack recommendation by late fusion with heuristic rankings. In: ACM Multimedia’14

    Google Scholar 

  10. Bao J, Zheng Y, Mokbel MF (2012) Location-based and preference-aware recommendation using sparse geo-social networking data. In: ACM SIGSPATIAL’12, pp 199–208

    Google Scholar 

  11. Shimrat M (1962) Algorithm 112: position of point relative to polygon. Commun ACM 5(8):434

    Article  Google Scholar 

  12. Hormann K, Agathos A (2001) The point in polygon problem for arbitrary polygons. Comput Geom 20(3):131–144

    Article  MATH  MathSciNet  Google Scholar 

  13. Kupper A, Bareth U, Freese B (2011) Geofencing and background tracking—the next features in LBS. In: INFORMATIK11

    Google Scholar 

  14. Yu Y, Tang SH, Zimmermann R (2013) Edge-based locality sensitive hashing for efficient geo-fencing application. In: ACM SIGSPATIAL’13, pp 576–579

    Google Scholar 

  15. Qu Y, Zhang J (2013) Trade area analysis using user generated mobile location data. In: WWW’13, pp 1053–1064

    Google Scholar 

  16. Quercia D, Di Lorenzo G, Calabrese F, Ratti C (2011) Mobile phones and outdoor advertising: measurable advertising. IEEE Pervasive Comput 10(2):28–36

    Article  Google Scholar 

  17. Scellato S, Noulas A, Lambiotte R, Mascolo C (2011) Socio-spatial properties of online location-based social networks. In: ICWSM’11

    Google Scholar 

  18. Scellato S, Mascolo C, Musolesi M, Crowcroft J (2011) Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades. In: WWW’11, pp 457–466

    Google Scholar 

  19. Leung D, Newsam S (2012) Exploring geotagged images for land-use classification. In: GeoMM’12, pp 3–8

    Google Scholar 

  20. Hauger D, Schedl M (2012) Exploring geospatial music listening patterns in microblog data. In: 10th international workshop on adaptive multimedia retrieval

    Google Scholar 

  21. Ikawa Y, Vukovic M, Rogstadius J, Murakami A (2013) Location-based insights from the social web. In: WWW’13 companion, pp 1013–1016

    Google Scholar 

  22. Eisenstein J, Ahmed A, Xing E (2011) Sparse additive generative models of text. In: ICML’11, pp 1041–1048

    Google Scholar 

  23. Hong L, Ahmed A, Gurumurthy S, Smola A, Tsioutsiouliklis K (2012) Discovering geographical topics in the Twitter stream. In: WWW’12, pp 769–778

    Google Scholar 

  24. Joachims T, Finley T, Yu CN (2009) Cutting-plane training of structural SVMs. Mach Learn 77(1):27–59

    Article  MATH  Google Scholar 

  25. Hofmann T (1999) Probabilistic latent semantic indexing. In: ACM SIGIR’99, pp 50–57

    Google Scholar 

  26. Kamahara J, Nagamatsu T, Tanaka N (2012) Conjunctive ranking function using geographic distance and image distance for geotagged image retrieval. In: GeoMM’12, pp 9–14

    Google Scholar 

  27. Liu Y, Shi Z, Wang G, Guan H (2012) Find you wherever you are: geographic location and environment context-based pedestrian detection. In: GeoMM’12, pp 27–32

    Google Scholar 

  28. Robertson S (2004) Understanding inverse document frequency: on theoretical arguments for IDF. J Doc 60(5):503–520

    Article  Google Scholar 

  29. Zheng Y, Zhang L, Xie X, Ma WY (2009) Mining interesting locations and travel sequences from GPS trajectories. In: WWW’09, pp 791–800

    Google Scholar 

  30. Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3:993–1022

    MATH  Google Scholar 

  31. Kamath KY, Caverlee J, Lee K, Cheng Z (2013) Spatio-temporal dynamics of online memes: a study of geo-tagged tweets. In: WWW’13, pp 667–678

    Google Scholar 

  32. Yamasaki T, Gallagher A, Chen T (2013) Personalized intra- and inter-city travel recommendation using large-scale geotags. In: GeoMM’13, pp 25–30

    Google Scholar 

  33. Yu Y, Aizawa K, Yamasaki T, Zimmermann R (2014) Emerging topics on personalized and localized multimedia information systems. In: ACM MM’14

    Google Scholar 

  34. Wang J (1999) A survey of web caching schemes for the Internet. ACM SIGCOMM Comput Commun Rev 29(5):36–46

    Article  Google Scholar 

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Acknowledgments

The work presented was in part supported by the Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiative and administered by the IDM Programme Office.

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Authors and Affiliations

  1. School of Computing, National University of Singapore, Computing 1, 13 Computing Drive, Singapore, Singapore

    Yi Yu & Roger Zimmermann

  2. Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, 182-8585, Japan

    Suhua Tang

Authors
  1. Yi Yu
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  2. Roger Zimmermann
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  3. Suhua Tang
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Corresponding author

Correspondence to Yi Yu .

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Editors and Affiliations

  1. IBM Corp., Durham, North Carolina, USA

    Aaron K. Baughman

  2. Nokia Inc., Sunnyvale, California, USA

    Jiang Gao

  3. Google Inc., Mountain View, California, USA

    Jia-Yu Pan

  4. 4i, Inc., Carlsbad, California, USA

    Valery A. Petrushin

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Yu, Y., Zimmermann, R., Tang, S. (2015). Social Interactions over Location-Aware Multimedia Systems. In: Baughman, A., Gao, J., Pan, JY., Petrushin, V. (eds) Multimedia Data Mining and Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-14998-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-14998-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14997-4

  • Online ISBN: 978-3-319-14998-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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