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DocVisor: A Multi-purpose Web-Based Interactive Visualizer for Document Image Analytics

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Document Analysis and Recognition – ICDAR 2021 Workshops (ICDAR 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12917))

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Abstract

The performance for many document-based problems (OCR, Document Layout Segmentation, etc.) is typically studied in terms of a single aggregate performance measure (Intersection-Over-Union, Character Error Rate, etc.). While useful, the aggregation is a trade-off between instance-level analysis of predictions which may shed better light on a particular approach’s biases and performance characteristics. To enable a systematic understanding of instance-level predictions, we introduce DocVisor - a web-based multi-purpose visualization tool for analyzing the data and predictions related to various document image understanding problems. DocVisor provides support for visualizing data sorted using custom-specified performance metrics and display styles. It also supports the visualization of intermediate outputs (e.g., attention maps, coarse predictions) of the processing pipelines. This paper describes the appealing features of DocVisor and showcases its multi-purpose nature and general utility. We illustrate DocVisor’s functionality for four popular document understanding tasks – document region layout segmentation, tabular data detection, weakly-supervised document region segmentation and optical character recognition. DocVisor is available as a documented public repository for use by the community.

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Notes

  1. 1.

    https://github.com/ihdia.

  2. 2.

    www.primaresearch.org/tools/Aletheia.

  3. 3.

    http://monkweb.nl/.

  4. 4.

    https://readcoop.eu/transkribus/.

  5. 5.

    https://tinyurl.com/5dd7dh6a.

  6. 6.

    https://github.com/OCR4all/OCR4all.

  7. 7.

    https://tinyurl.com/69thzj3c.

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Authors and Affiliations

  1. Centre for Visual Information Technology, International Institute of Information Technology, Hyderabad, 500032, India

    Khadiravana Belagavi, Pranav Tadimeti & Ravi Kiran Sarvadevabhatla

Authors
  1. Khadiravana Belagavi
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  2. Pranav Tadimeti
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  3. Ravi Kiran Sarvadevabhatla
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Editor information

Editors and Affiliations

  1. Boise State University, Boise, ID, USA

    Elisa H. Barney Smith

  2. Indian Statistical Institute, Kolkata, India

    Umapada Pal

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Belagavi, K., Tadimeti, P., Sarvadevabhatla, R.K. (2021). DocVisor: A Multi-purpose Web-Based Interactive Visualizer for Document Image Analytics. In: Barney Smith, E.H., Pal, U. (eds) Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science(), vol 12917. Springer, Cham. https://doi.org/10.1007/978-3-030-86159-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-86159-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86158-2

  • Online ISBN: 978-3-030-86159-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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