Using human computation in dead-zone based 2D pattern matching
| Autor: | Loek Cleophas, Watson, B. W., Awid, K. |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Zdroj: | Proceedings of the Prague Stringology Conference 2016, August 29-31, 2016, Prague, Czech Republic, 22-32 STARTPAGE=22;ENDPAGE=32;TITLE=Proceedings of the Prague Stringology Conference 2016, August 29-31, 2016, Prague, Czech Republic Pure TUe |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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