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
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
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)
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)
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)
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)
Fraisse, A., Paroubek, P.: Toward a unifying model for opinion, sentiment and emotion information extraction. In: International Conference on Language Resources and Evaluation (2014)
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)
Hauptmann, A.G., Witbrock, M.J.: Informedia: news-on-demand multimedia information acquisition and retrieval. In: Intelligent Multimedia Information Retrieval, pp. 215–239 (1997)
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)
Jiang, H.: Confidence measures for speech recognition: a survey. Speech Commun. 45(4), 455–470 (2005)
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)
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)
Merlino, A., Morey, D., Maybury, M.: Broadcast news navigation using story segmentation. In: ACM International Conference on Multimedia, pp. 381–391 (1997)
Mikolov, T., Yih, W.-T., Zweig, G.: Linguistic regularities in continuous space word representations. In: HLT-NAACL, pp. 746–751 (2013)
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)
Poignant, J., Bredin, H., Barras, C.: Multimodal person discovery in broadcast tv at mediaeval 2015. In: Working Notes Proceedings of MediaEval 2015 Workshop (2015)
Ratkiewicz, J., Conover, M., Meiss, M., Gonçalves, B., Flammini, A., Menczer, F.: Detecting and tracking political abuse in social media. In: ICWSM (2011)
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)
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)
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)
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)
Zeng, D., Chen, H., Lusch, R., Li, S.-H.: Social media analytics and intelligence. IEEE J. Intell. Syst. 25(6), 13–16 (2010)
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
Corresponding author
Editor information
Editors and Affiliations
Rights 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)