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Towards content-based patent image retrieval: A framework perspective

Paper ID Volume ID Publish Year Pages File Format Full-Text
38353 45659 2010 13 PDF Available
Title
Towards content-based patent image retrieval: A framework perspective
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.

Keywords
Content-based search; Patent; Retrieval; Images; Drawings; Figures; Search engine; Hybrid
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Publisher
Database: Elsevier - ScienceDirect
Journal: World Patent Information - Volume 32, Issue 2, June 2010, Pages 94–106
Authors
, , , , , ,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us