Skip to main content

Shaping-Up Multimedia Analytics: Needs and Expectations of Media Professionals

  • Conference paper
  • First Online:
MultiMedia Modeling (MMM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9517))

Included in the following conference series:

Abstract

This paper is intended to help clarifying what multimedia analytics encompasses by studying users expectations. As a showcase, we focus on the very specific family of applications doing search and navigation of broadcast and social news content. This paper is first describing what professional practitioners working with news currently do. Thanks to extensive conversations with media professionals, mockup interfaces and a human-centered design methodology, we analyze the perceived usefulness of a number of functionalities leveraging existing or upcoming technologies. This analysis helps (i) determining research directions for the technology underpinning the very recent field of (multi)media analytics and (ii) understanding how multimedia analytics should be defined. In particular, dependency to the domain is discussed: are multimedia analytics tasks domain-specific or can we find general definitions?

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Similar content being viewed by others

References

  1. Agarwal, R., Prasad, A.: A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf. Syst. Res. 9(2), 204–215 (1998)

    Article  Google Scholar 

  2. Atif, J., Hudelot, C., Bloch, I.: Explanatory reasoning for image understanding using formal concept analysis and description logics. IEEE Trans. Syst. Man Cybern. Syst. 44(5), 552–570 (2014)

    Article  Google Scholar 

  3. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)

    Article  Google Scholar 

  4. Ding, D., Metze, F., Rawat, S., Schulam, P.F., Burger, S., Younessian, E., Bao, L., Christel, M.G., Hauptmann, A.: Beyond audio and video retrieval: towards multimedia summarization. In: Proceedings of the ACM International Conference on Multimedia Retrieval (2012)

    Google Scholar 

  5. Eskevich, M., Jones, G.J.F., Aly, R., et al.: Multimedia information seeking through search and hyperlinking. In: ACM International Conference on Multimedia Retrieval (2013)

    Google Scholar 

  6. Fraisse, A., Paroubek, P.: Toward a unifying model for opinion, sentiment and emotion information extraction. In: International Conference on Language Resources and Evaluation (2014)

    Google Scholar 

  7. Ghoniem, M., Luo, D., Yang, J., Ribarsky, W.: NewsLab: exploratory broadcast news video analysis. In: IEEE Symposium on Visual Analytics Science and Technology, pp. 123–130 (2007)

    Google Scholar 

  8. Hauptmann, A.G., Witbrock, M.J.: Informedia: news-on-demand multimedia information acquisition and retrieval. In: Intelligent Multimedia Information Retrieval, pp. 215–239 (1997)

    Google Scholar 

  9. Ide, I., Mo, H., Katayama, N., Satoh, S.: Topic threading for structuring a large-scale news video archive. In: Enser, P.G.B., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds.) CIVR 2004. LNCS, vol. 3115, pp. 123–131. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. Jiang, H.: Confidence measures for speech recognition: a survey. Speech Commun. 45(4), 455–470 (2005)

    Article  Google Scholar 

  11. Jónsson, B.T., Eiríksdóttir, Á., Waage, Ó., Tómasson, G.,Sigurthórsson, H., Amsaleg, L.: M3+ p3+ o3= multi-d photo browsing. In: MultiMedia Modeling, pp. 378–381 (2014)

    Google Scholar 

  12. Lee, H., Smeaton, A.F., O’Connor, N.E., Smyth, B.: User evaluation of Físchlár-news: an automatic broadcast news delivery system. ACM Trans. Inf. Syst. 24(2), 145–189 (2006)

    Article  Google Scholar 

  13. Merlino, A., Morey, D., Maybury, M.: Broadcast news navigation using story segmentation. In: ACM International Conference on Multimedia, pp. 381–391 (1997)

    Google Scholar 

  14. Mikolov, T., Yih, W.-T., Zweig, G.: Linguistic regularities in continuous space word representations. In: HLT-NAACL, pp. 746–751 (2013)

    Google Scholar 

  15. Nielsen, J., Landauer, T.K.: A mathematical model of the finding of usability problems. In: Proceedings of the INTERACT 1993 and CHI 1993 Conference on Human Factors in Computing Systems, CHI 1993, pp. 206–213. ACM, New York (1993)

    Google Scholar 

  16. Poignant, J., Bredin, H., Barras, C.: Multimodal person discovery in broadcast tv at mediaeval 2015. In: Working Notes Proceedings of MediaEval 2015 Workshop (2015)

    Google Scholar 

  17. Ratkiewicz, J., Conover, M., Meiss, M., Gonçalves, B., Flammini, A., Menczer, F.: Detecting and tracking political abuse in social media. In: ICWSM (2011)

    Google Scholar 

  18. Rizzo, G., Troncy, R.: NERD: a framework for unifying named entity recognition and disambiguation web extraction tools. In: Conference of the European Chapter of the Association for Computational Linguistics (2012)

    Google Scholar 

  19. Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web, pp. 851–860. ACM (2010)

    Google Scholar 

  20. Turian, J., Ratinov, L., Bengio, Y.: Word representations: a simple and general method for semi-supervised learning. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 384–394 (2010)

    Google Scholar 

  21. Wu, X., Ngo, C.-W., Li, Q.: Threading and autodocumenting news videos: a promising solution to rapidly browse news topics. IEEE Signal Process. Mag. 23(2), 59–68 (2006)

    Article  Google Scholar 

  22. Zeng, D., Chen, H., Lusch, R., Li, S.-H.: Social media analytics and intelligence. IEEE J. Intell. Syst. 25(6), 13–16 (2010)

    Article  Google Scholar 

Download references

Acknowledgments

This work was funded via the CominLabs excellence laboratory financed by the National Research Agency under reference ANR-10-LABX-07-01.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laurent Amsaleg .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Gravier, G. et al. (2016). Shaping-Up Multimedia Analytics: Needs and Expectations of Media Professionals. In: Tian, Q., Sebe, N., Qi, GJ., Huet, B., Hong, R., Liu, X. (eds) MultiMedia Modeling. MMM 2016. Lecture Notes in Computer Science(), vol 9517. Springer, Cham. https://doi.org/10.1007/978-3-319-27674-8_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27674-8_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27673-1

  • Online ISBN: 978-3-319-27674-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics