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Using Human Computation in Dead-zone based 2D Pattern Matching
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)In: PROCEEDINGS OF THE PRAGUE STRINGOLOGY CONFERENCE 2016 / [ed] Holub, J Zdarek, J, CZECH TECHNICAL UNIV PRAGUE , 2016, 22-32 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper examines the application of human computation (HC) to two-dimensional image pattern matching. The two main goals of our algorithm are to use turks as the processing units to perform an efficient pattern match attempt on a subsection of an image, and to divide the work using a version of dead-zone based pattern matching. In this approach, human computation presents an alternative to machine learning by outsourcing computationally difficult work to humans, while the dead-zone search offers an efficient search paradigm open to parallelization-making the combination a powerful approach for searching for patterns in two-dimensional images.

Place, publisher, year, edition, pages
CZECH TECHNICAL UNIV PRAGUE , 2016. 22-32 p.
Keyword [en]
image pattern matching, dead-zone pattern matching, human computation
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-138636ISI: 000390865400003ISBN: 978-80-01-05996-8 OAI: oai:DiVA.org:umu-138636DiVA: diva2:1137553
Conference
Prague Stringology Conference (PSC), AUG 29-31, 2016, Czech Tech Univ Prague, Prague, CZECH REPUBLIC
Available from: 2017-08-31 Created: 2017-08-31 Last updated: 2017-08-31

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