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Visually Guided Bottom-Up Table Detection and Segmentation in Web Documents

  • Bernhard Kropl, Vienna University of Technology, Austria
  • Marcus Herzog, Vienna University of Technology, Austria

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Track: Posters

In the AllRight project, we are developing an algorithm for unsupervised table detection and segmentation that uses the visual rendition of a Web page rather than the HTML code. Our algorithm works bottom-up by grouping word bounding boxes into larger groups and uses a set of heuristics. It has already been implemented and a preliminary evaluation on about 6000 Web documents has been carried out.


Krüpl, B. and Herzog, M. 2006. Visually guided bottom-up table detection and segmentation in web documents. In Proceedings of the 15th International Conference on World Wide Web (Edinburgh, Scotland, May 23 - 26, 2006). WWW '06. ACM Press, New York, NY, 933-934.
DOI= http://doi.acm.org/10.1145/1135777.1135951

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