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ICPR2020 Competition on Text Detection and Recognition in Arabic News Video Frames

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Pattern Recognition. ICPR International Workshops and Challenges (ICPR 2021)

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Abstract

After the success of the two first editions of the “Arabic Text in Videos Competition—AcTiVComp”, we are proposing to organize a new edition in conjunction with the 25th International Conference on Pattern Recognition (ICPR’20). The main objective is to contribute in the research field of text detection and recognition in multimedia documents, with a focus on Arabic text in video frames. The former editions were held in the framework of ICPR’16 and ICDAR’17 conferences. The obtained results on the AcTiV dataset have shown that there is still room for improvement in both text detection and recognition tasks. Four groups with five systems are participating to this edition of AcTiVComp (three for the detection task and two for the recognition task). All the submitted systems have followed a CRNN-based architecture, which is now the de facto choice for text detection and OCR problems. The achieved results are very interesting, showing a significant improvement from the state-of-the-art performances on this field of research.

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Notes

  1. 1.

    https://rrc.cvc.uab.es/.

  2. 2.

    https://diuf.unifr.ch/main/diva/AcTiVComp/.

  3. 3.

    https://icosys.ch.

  4. 4.

    http://www.latis-eniso.org.

  5. 5.

    https://www3.unifr.ch/inf/diva/en/.

  6. 6.

    https://diuf.unifr.ch/main/diva/AcTiVComp/.

  7. 7.

    This choice is motivated by the fact that a detection result which cuts parts of the text rectangle is more disturbing than a detection which results in a too large rectangle.

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Author information

Authors and Affiliations

  1. Institute of Complex Systems, HES-SO, Fribourg, Switzerland

    Oussama Zayene & Jean Hennebert

  2. DIVA Group, Department of Informatics, University of Fribourg, Fribourg, Switzerland

    Rolf Ingold

  3. LATIS Laboratory, National Engineering School of Sousse, University of Sousse, Sousse, Tunisia

    Najoua Essoukri BenAmara

Authors
  1. Oussama Zayene
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  2. Rolf Ingold
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  3. Najoua Essoukri BenAmara
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  4. Jean Hennebert
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Corresponding author

Correspondence to Oussama Zayene .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Alberto Del Bimbo

  2. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Rita Cucchiara

  3. Department of Computer Science, Boston University, Boston, MA, USA

    Stan Sclaroff

  4. Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

    Giovanni Maria Farinella

  5. Cloud & AI, JD.COM, Beijing, China

    Tao Mei

  6. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Marco Bertini

  7. Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla,, Puebla, Mexico

    Hugo Jair Escalante

  8. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Roberto Vezzani

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Zayene, O., Ingold, R., BenAmara, N.E., Hennebert, J. (2021). ICPR2020 Competition on Text Detection and Recognition in Arabic News Video Frames. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12668. Springer, Cham. https://doi.org/10.1007/978-3-030-68793-9_26

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  • DOI: https://doi.org/10.1007/978-3-030-68793-9_26

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  • Online ISBN: 978-3-030-68793-9

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