Skip to main content
SpringerLink
Log in

An Architecture for Dynamic Contextual Personalization of Multimedia Narratives in IoT Environments

  • Conference paper
  • First Online:
Intelligent Computing (SAI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1229))

Included in the following conference series:

  • 716 Accesses

Abstract

The proliferation of shared multimedia narratives on the Internet is due to three main factors: increasing number of narrative producers, availability of narrative-sharing services, and increasing popularization of mobile devices that allow recording, editing, and sharing narratives. These factors characterize the emergence of an environment we call Internet of Narratives. One of the issues that arise with this environment is the cognitive overload experienced by users when consuming narratives. In this context, consuming a narrative means not only choosing from a large number of possibilities, but also how a narrative must be personalized to suit the user profile and the ubiquitous features of presentation environments. Narrative personalization is not restricted to removing, reordering and restructuring narratives, but it also covers configuring presentation environments according to narrative and user profiles. Through Internet of Things devices, narratives can sense the environment context and actuate on it to offer a more immersive and interactive consumption experience. This article proposes a middleware architecture for personalization of multimedia narratives. This architecture considers the ubiquitous characteristics of IoT presentation environment of multimedia narratives and the continuous stream of unstructured information of such environments.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Carmo, R.R.M., Soares, L.F.G., Casanova, M.A.: Nested event model for multimedia narratives. Presented at the 2013 IEEE International Symposium on Multimedia (ISM), Anaheim, CA, USA, pp. 106–113 (2013)

    Google Scholar 

  2. Donoso, V., Geerts, D., Cesar, P., de Grooff, D. (eds.): Networked Television Adjunct proceedings of EuroITV 2009, Leuven, Belgium, pp. 1–190 (2009)

    Google Scholar 

  3. Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for the internet of things: a survey, arXiv, vol. 16, no. 1, pp. 414–454, March 2014

    Google Scholar 

  4. Westermann, U., Jain, R.: {\rm E – A generic event model for event-centric multimedia data management in eChronicle applications}. Presented at the 22nd International Conference on Data Engineering Workshops (ICDEW 2006), p. x106 (2006)

    Google Scholar 

  5. Martínez, J.M. (ed.): MPEG-7 Overview 10 ed. Palma de Mallorca, Spain (2004)

    Google Scholar 

  6. Adams, W.J., Eastman, S.T.: Prime-time network entertainment programming. In: Broadcast Television Strategies, no. 4 (2007). wadsworthmedia.com

  7. Bellekens, P., Van Kerckhove, G., Kaptien, A.: iFanzy: A ubiquitous approach towards a personalized EPG. Presented at the Euro iTv 2009, Leuven, Belgium, pp. 130–131 (2009)

    Google Scholar 

  8. Aroyo, L., Conconi, A., Dietze, S., Kaptein, A., Nixon, L., Nufer, C., Palmisano, D., Vignaroli, L., Yankova, M.: NoTube – making TV a medium for personalized interaction. In: Euro iTv 2009, pp. 22–26, April 2009

    Google Scholar 

  9. Mathur, P.: Technological Forms and Ecological Communication: A Theoretical Heuristic, pp. 1–229. Lexington Books, Laham (2017)

    Google Scholar 

  10. Tseng, M.M., Jiao, J.: Mass customization. In: Salvendy, G. (ed.) Handbook of Industrial Engineering, 3rd edn, pp. 684–709. Wiley, Hoboken (2001)

    Chapter  Google Scholar 

  11. Kaplan, A.M., Haenlein, M.: Toward a parsimonious definition of traditional and electronic mass customization. J. Prod. Innov. Manag. 23(2), 168–182 (2006)

    Article  Google Scholar 

  12. McCarthy, I.P.: Special issue editorial: the what, why and how of mass customization. Prod. Plan. Control 15(4), 347–351 (2007)

    Article  Google Scholar 

  13. Schneider-Hufschmidt, M., Kühme, T., Malinowski, U.: Adaptive User Interfaces. North Holland (1993)

    Google Scholar 

  14. Brusilovsky, P.: Adaptive hypermedia for education and training. In: Durlach, P.J., Lesgold, A.M. (eds.) Adaptive Technologies for Training and Education, no. 3, pp. 46–66. Cambridge University Press, Cambridge (2012)

    Google Scholar 

  15. Ricci, F., Rokach, L., Shapira, B.: Introduction to recommender systems handbook. In: Recommender Systems Handbook, no. 1, pp. 1–35. Springer, Boston (2010)

    Google Scholar 

  16. Munir, K., Anjum, M.S.: The use of ontologies for effective knowledge modelling and information retrieval. Appl. Comput. Inf. 14(2), 116–126 (2017)

    Google Scholar 

  17. Bringuier, L.: Increasing ad personalization with server-side ad insertion, pp. 403–412. Amsterdam, Netherlands (2016)

    Google Scholar 

  18. Seeliger, R., Silhavy, D., Arbanowski, S.: Dynamic ad-insertion and content orchestration workflows through manifest manipulation in HLS and MPEG-DASH. Presented at the CNS, vol. 2017, pp. 450–455 (2017)

    Google Scholar 

  19. Thawani, A., Gopalan, S., Sridhar, V.: Context Aware Personalized Ad Insertion in an Interactive TV Environment, pp. 1–7 (2004)

    Google Scholar 

  20. McParland, A.: TV-Anytime - using all that extra data. British Broadcasting Corp (2002)

    Google Scholar 

  21. Masthoff, J., Pemberton, L.: Adaptive hypermedia for personalised TV. In: Adaptable and Adaptive Hypermedia Systems, no. 13, pp. 246–263. IGI Global (2005)

    Google Scholar 

  22. Román, M., Hess, C.K., Cerqueira, R., Ranganathan, A., Campbell, R.H., Nahrstedt, K.: A middleware infrastructure for active spaces. IEEE Pervasive Comput. 1(4), 74–83 (2002)

    Article  Google Scholar 

  23. Brusilovsky, P. (ed.): The Adaptive Web: Methods and Strategies of Web Personalization, vol. 4321. Springer, Heidelberg (2007)

    Google Scholar 

  24. Scherp, A.: A Component Framework for Personalized Multimedia Applications. ansgarscherp.net, Oldenburg, Germany (2006)

    Google Scholar 

  25. Cutts, S., Davies, P., Newell, D., Rowe, N.: Requirements for an adaptive multimedia presentation system with contextual supplemental support media. Presented at the 2009 First International Conference on Advances in Multimedia (MMEDIA), Colmar, France, pp. 62–67 (2009)

    Google Scholar 

  26. Rose, K., Eldridge, S., Chapin, L.: The Internet of Things: An Overview, October 2015

    Google Scholar 

  27. Masoero, R., Buono, S., Malatesta, L.: Internet of Things: The Next Big Opportunity for Media Companies. Accenture, April 2017

    Google Scholar 

  28. Souza, R., Lopes, J., Geyer, C., Garcia, C., Davet, P., Yamin, A.: Context awareness in UbiComp: An IoT oriented distributed architecture. Presented at the 2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS), Cairo, Egypt, pp. 535–538 (2016)

    Google Scholar 

  29. Jih, W.-R., Cheng, S.-Y., Hsu, J.Y.-J., Tsai, T.-M.: Context-aware access control in pervasive healthcare. Presented at the EEE 2005 Workshop: Mobility, Agents, and Mobile Services (MAM), pp. 1–8 (2005)

    Google Scholar 

  30. Pham, C., Lim, Y., Tan, Y.: Management architecture for heterogeneous IoT devices in home network. Presented at the IEEE 5th Global Conference on Consumer Electronics, Kyoto, Japan, pp. 1–5 (2016)

    Google Scholar 

  31. Fremantle, P.: A Reference Architecture for the Internet of Things, October 2015

    Google Scholar 

  32. Jourdan, M., Bes, F.: A new step towards multimedia documents generation. Presented at the International Conference on Media Futures, pp. 25–28 (2001)

    Google Scholar 

  33. Sebe, N.: Personalized multimedia retrieval: the new trend? Presented at the International Workshop, New York, USA, no. Special Session on Personalized Multimedia Information Retrieval, pp. 299–306 (2007)

    Google Scholar 

  34. Brusilovsky, P.: Adaptive hypermedia. In: UM’03, vol. 11, no. 1, pp. 87–110 (2001)

    Google Scholar 

  35. Davies, P., Newell, D., Rowe, N., Atfield-Cutts, S.: An adaptive multimedia presentation system. IJAS 4(1), 1–11 (2011)

    Google Scholar 

  36. De Bra, P., Knutov, E., Smits, D., Stash, N., Ramos, V.F.C.: GALE: a generic open source extensible adaptation engine. New Rev. Hypermedia Multimedia 19(2), 182–212 (2013)

    Article  Google Scholar 

  37. Song, S., Moustafa, H., Afifi, H.: Personalized TV service through employing context-awareness in IPTV/IMS architecture. In: Zeadally, S., Cerqueira, E., Curado, M., Leszczuk, M. (eds.) Adaptive Hypermedia and Adaptive Web-Based Systems, vol. 6157, no. 8, pp. 75–86. Springer, Heidelberg (2010)

    Google Scholar 

  38. ISO/IEC 14496-20:2008 Information technology – Coding of audio-visual objects – Part 20: Lightweight Application Scene Representation (LASeR) and Simple Aggregation Format (SAF), San Jose, CA, USA, December 2008

    Google Scholar 

  39. Pham, S., Krauss, C., Silhavy, D., Arbanowski, S.: Personalized dynamic ad insertion with MPEG DASH. Presented at the 2016 Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast), Bali, Indonesia, pp. 1–6 (2016)

    Google Scholar 

  40. Rowe, N., Davies, P.: The anatomy of an adaptive multimedia presentation system (AMPS). Presented at the Third International Conference on Advances in Multimedia, Budapest, Hungary, pp. 30–37 (2011)

    Google Scholar 

  41. Huang, Z., Nahrstedt, K., Steinmetz, R.: Evolution of temporal multimedia synchronization principles. ACM Trans. Multimedia Comput. Commun. Appl. 9(1), 1–23 (2013)

    Article  Google Scholar 

Download references

Acknowledgment

This work was partly funded by grants CNPq/302303-2017-0, FAPERJ/E-26-202.818-2017, CAPES/PRINT/88881.310592-2018-01 and FAPEAM/SECT-020/2009.

Author information

Authors and Affiliations

  1. University of the State of Amazonas, Manaus, AM, Brazil

    Ricardo R. M. do Carmo

  2. Pontifical University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil

    Marco A. Casanova

Authors
  1. Ricardo R. M. do Carmo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marco A. Casanova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ricardo R. M. do Carmo .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

do Carmo, R.R.M., Casanova, M.A. (2020). An Architecture for Dynamic Contextual Personalization of Multimedia Narratives in IoT Environments. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1229. Springer, Cham. https://doi.org/10.1007/978-3-030-52246-9_36

Download citation

Publish with us

Policies and ethics

Search

Navigation