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Combined Advertising Sign Classifier

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Book cover Analysis of Images, Social Networks and Texts (AIST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11832))

Abstract

The article describes the problem of classifying photographs of advertising signs of commercial establishments according to the type of services provided. The proposed solution is based on the sharing of textual and visual features. We provide a composite model that includes a text recognition module and an extractor of visual characteristics to improve classification accuracy. We achieve \(F_1\) of 0.24 exceeding strong baseline quality for 10%.

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Notes

  1. 1.

    We use publicly available pre-trained model which could be accessed here: https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit?usp=sharing.

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Author information

Authors and Affiliations

  1. Neural System and Deep Learning Laboratory, Moscow Institute of Physics and Technology, Dolgoprudny, Russia

    Valentin Malykh

  2. Saint-Petersburg State University, Saint-Petersburg, Russia

    Aleksei Samarin

  3. Kazan (Volga Region) Federal University, Kazan, Russia

    Valentin Malykh

  4. VK Research, Saint-Petersburg, Russia

    Valentin Malykh & Aleksei Samarin

Authors
  1. Valentin Malykh
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  2. Aleksei Samarin
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Corresponding author

Correspondence to Valentin Malykh .

Editor information

Editors and Affiliations

  1. RWTH Aachen University, Aachen, Germany

    Wil M. P. van der Aalst

  2. University of Ljubljana, Ljubljana, Slovenia

    Vladimir Batagelj

  3. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  4. Krasovskii Institute of Mathematics and Mechanics, Yekaterinburg, Russia

    Michael Khachay

  5. National Research University Higher School of Economics, Moscow, Russia

    Valentina Kuskova

  6. University of Oslo, Oslo, Norway

    Andrey Kutuzov

  7. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  8. National Research University Higher School of Economics, Moscow, Russia

    Irina A. Lomazova

  9. Lomonosov Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  10. LORIA, Vandœuvre-lès-Nancy, France

    Amedeo Napoli

  11. University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  12. Ca Foscari University of Venice, Venice, Italy

    Marcello Pelillo

  13. National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  14. Kazan Federal University, Kazan, Russia

    Elena Tutubalina

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Malykh, V., Samarin, A. (2019). Combined Advertising Sign Classifier. In: van der Aalst, W., et al. Analysis of Images, Social Networks and Texts. AIST 2019. Lecture Notes in Computer Science(), vol 11832. Springer, Cham. https://doi.org/10.1007/978-3-030-37334-4_16

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  • DOI: https://doi.org/10.1007/978-3-030-37334-4_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37333-7

  • Online ISBN: 978-3-030-37334-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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