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Towards content-based patent image retrieval: A framework perspective

Author

Listed:
  • Vrochidis, Stefanos
  • Papadopoulos, Symeon
  • Moumtzidou, Anastasia
  • Sidiropoulos, Panagiotis
  • Pianta, Emanuelle
  • Kompatsiaris, Ioannis

Abstract

In this article, we discuss the potential benefits, the requirements and the challenges involved in patent image retrieval and subsequently, we propose a framework that encompasses advanced image analysis and indexing techniques to address the need for content-based patent image search and retrieval. The proposed framework involves the application of document image pre-processing, image feature and textual metadata extraction in order to support effectively content-based image retrieval in the patent domain. To evaluate the capabilities of our proposal, we implemented a patent image search engine. Results based on a series of interaction modes, comparison with existing systems and a quantitative evaluation of our engine provide evidence that image processing and indexing technologies are currently sufficiently mature to be integrated in real-world patent retrieval applications.

Suggested Citation

  • Vrochidis, Stefanos & Papadopoulos, Symeon & Moumtzidou, Anastasia & Sidiropoulos, Panagiotis & Pianta, Emanuelle & Kompatsiaris, Ioannis, 2010. "Towards content-based patent image retrieval: A framework perspective," World Patent Information, Elsevier, vol. 32(2), pages 94-106, June.
    • Handle: RePEc:eee:worpat:v:32:y:2010:i:2:p:94-106
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    Cited by:

    1. Jee, Jeonghun & Park, Sanghyun & Lee, Sungjoo, 2022. "Potential of patent image data as technology intelligence source," Journal of Informetrics, Elsevier, vol. 16(2).

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