Capturing Shape and Text for Retrieval

Abstract

We present a system for content-based retrieval of line drawings. Line drawings are schematic diagrams consisting of two kinds of information, text and graphics. The textual part is indexed from the results of word recognition. The indexing for the graphic content uses no a-priori knowledge about the content of a drawing and depends only on features derived from the shape of graphic structures. The indexing scheme is used in a vector based information retrieval system. Results and problems in evaluating such a system are discussed.

Conference

Publication date: September 1995

Publication date (Print): September 1995

Pages: 1-10

Affiliations

Institut für Informationssysteme, ETH

Zürich, Switzerland

Article

DOI: 10.14236/ewic/MIRO1995.8

Copyright statement: © Oliver Lorenz et al. Published by BCS Learning and Development Ltd. Proceedings of the Final Workshop on Multimedia Information Retrieval (Miro '95) Glasgow, Scotland

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the Final Workshop on Multimedia Information Retrieval (Miro '95)

Conference acronym: MIRO

Conference number:

Conference location: Glasgow, Scotland

Conference date: 18-20 September 1995

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Multimedia Information Retrieval

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/MIRO1995.8

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing