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Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio Content

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MultiMedia Modeling (MMM 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11962))

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Abstract

The emergence of audio streaming services and evolved listening habits notwithstanding, broadcast radio is still a popular medium that plays an important role in contemporary users’ media consumption mix. While radio’s strength has traditionally lain in the shared live experience that it enables, radio shows are nowadays much more than just a linear broadcast feed: they are about user engagement and interaction over a amalgam of communication channels. Producing interactive radio programs in a cost-effective way thus requires understanding and indexing a large set of multimedia content, not just audio data (but also e.g., text, user-generated content, web resources). This position paper discusses a number of open challenges and opportunities with respect to the application of multimedia analytics in interactive radio production that need to be addressed in order to facilitate content creation at scale. Our work aims to support the future evolution of (interactive) radio, this way helping the radio medium to stay relevant in an ever-changing media ecosystem.

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Notes

  1. 1.

    https://www.bbc.co.uk/taster/pilots/inspection-chamber.

  2. 2.

    https://www.bbc.co.uk/taster/pilots/unfortunates.

  3. 3.

    https://www.ft.com/hiddenberlin.

  4. 4.

    https://www.adobe.com/analytics/adobe-analytics.html.

  5. 5.

    http://www.voizzup.com/.

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Acknowledgments

This work has received funding from the European Union’s Horizon 2020 research and innovation programme, under grant agreement n\(^\circ \) 761802 MARCONI (“Multimedia and Augmented Radio Creation: Online, iNteractive, Individual”). The authors thank all presenters and participants of the Workshop on Interactive Radio Experiences at ACM TVX 2019.

Author information

Authors and Affiliations

  1. JOANNEUM RESEARCH, Graz, Austria

    Werner Bailer

  2. Hasselt University – tUL – EDM, Diepenbeek, Belgium

    Maarten Wijnants & Hendrik Lievens

  3. VRT, Brussels, Belgium

    Sandy Claes

Authors
  1. Werner Bailer
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  2. Maarten Wijnants
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  3. Hendrik Lievens
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  4. Sandy Claes
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Corresponding author

Correspondence to Werner Bailer .

Editor information

Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Yong Man Ro

  2. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Huang Cheng

  3. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Junmo Kim

  4. National Cheng Kung University, Tainan City, Taiwan

    Wei-Ta Chu

  5. Tsinghua University, Beijing, China

    Peng Cui

  6. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Jung-Woo Choi

  7. National Tsing Hua University, Hsinchu, Taiwan

    Min-Chun Hu

  8. Ghent University, Ghent, Belgium

    Wesley De Neve

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Bailer, W., Wijnants, M., Lievens, H., Claes, S. (2020). Multimedia Analytics Challenges and Opportunities for Creating Interactive Radio Content. In: Ro, Y., et al. MultiMedia Modeling. MMM 2020. Lecture Notes in Computer Science(), vol 11962. Springer, Cham. https://doi.org/10.1007/978-3-030-37734-2_31

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  • DOI: https://doi.org/10.1007/978-3-030-37734-2_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37733-5

  • Online ISBN: 978-3-030-37734-2

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