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LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece

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Engineering Applications of Neural Networks (EANN 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1826))

Abstract

LoockMe is an artificial intelligence-powered location scouting platform that combines deep learning image analysis, cutting-edge machine learning natural language processing (NLP) for automated content annotation, and intelligent search. The platform’s objective is to label input images of local landscapes, and/or any other assets that regional film offices want to expose to those interested in identifying potential locations for the film production industry. The deep learning-based image analysis achieved high classification performance with an AUC score of 99.4%. Moreover, the state-of-the-art machine learning NLP module enhances the platform’s capabilities by analyzing text descriptions of the locations and thus allowing for automated annotation, while the intelligent search engine combines image analysis with NLP to extract relevant context from available data. The proposed artificial intelligence platform has the potential to substantially assist asset publishers and revolutionize the location scouting process for the film production industry in Greece.

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Notes

  1. 1.

    http://www.github.com/trivizakis/loockme-model/.

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Funding

This research has been co‐financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call “RESEARCH – CREATE – INNOVATE (project code:T2EDK-1346)”.

Author information

Authors and Affiliations

  1. Computational BioMedicine Laboratory (CBML), Foundation for Research and Technology, Hellas (FORTH), 70013, Heraklion, Greece

    Eleftherios Trivizakis, Ioannis Stefanis, Leoni Chondromatidou, Manolis Tsiknakis & Kostas Marias

  2. Biomedical Research Institute (BRI), Foundation for Research and Technology, Hellas (FORTH), 45110, Ioannina, Greece

    Vassilios Aidonis, Vassilios C. Pezoulas & Dimitrios I. Fotiadis

  3. Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110, Ioannina, Greece

    Vassilios Aidonis, Vassilios C. Pezoulas, Yorgos Goletsis & Dimitrios I. Fotiadis

  4. Laboratory of Business Economics and Decisions, Department of Economics, University of Ioannina, 45110, Ioannina, Greece

    Yorgos Goletsis

  5. Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410, Heraklion, Greece

    Nikolaos Oikonomou, Ioannis Stefanis, Manolis Tsiknakis & Kostas Marias

Authors
  1. Eleftherios Trivizakis
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  2. Vassilios Aidonis
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  3. Vassilios C. Pezoulas
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  4. Yorgos Goletsis
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  5. Nikolaos Oikonomou
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  6. Ioannis Stefanis
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  7. Leoni Chondromatidou
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  8. Dimitrios I. Fotiadis
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  9. Manolis Tsiknakis
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  10. Kostas Marias
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Contributions

E.T. conceived and designed the DL image analyses of the study. V.A, V.C.P., and Y.G. conceived and designed the NLP part of the study. E.T. and N.O contributed to the image collection. I.S. deployed the imaging module on the LoockMe platform. E.T., V.A, V.C.P., and Y.G contributed to the performed analysis, and drafted the manuscript. E.T., V.A, V.C.P., Y.G., D.I.F., M.T. and K.M. contributed to the literature research, interpretation of data and revised the manuscript. Y.G., D.I.F., and M.T. contributed to the critical revision of the paper. K.M. contributed to the critical revision of the paper and was the guarantor of the integrity of the entire study. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Eleftherios Trivizakis .

Editor information

Editors and Affiliations

  1. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  2. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  3. University of Leon, León, Spain

    Serafin Alonso

  4. Teesside University, Middlesbrough, UK

    Chrisina Jayne

  5. University of the West of England, Bristol, UK

    Elias Pimenidis

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Trivizakis, E. et al. (2023). LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece. In: Iliadis, L., Maglogiannis, I., Alonso, S., Jayne, C., Pimenidis, E. (eds) Engineering Applications of Neural Networks. EANN 2023. Communications in Computer and Information Science, vol 1826. Springer, Cham. https://doi.org/10.1007/978-3-031-34204-2_27

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  • DOI: https://doi.org/10.1007/978-3-031-34204-2_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34203-5

  • Online ISBN: 978-3-031-34204-2

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