Divide and conquer: Atomizing and parallelizing a task in a mobile crowdsourcing platform
Abstract:
In this paper we present some conclusions about the advantages of having an efficient task formulation when a crowdsourcing platform is used. In particular we show how the task atomization and distribution can help to obtain results in an efficient way. Our proposal is based on a recursive splitting of the original task into a set of smaller and simpler tasks. As a result both more accurate and faster solutions are obtained. Our evaluation is performed on a set of ancient documents that need to be digitized. Copyright 2013 ACM.
Año de publicación:
2013
Keywords:
- Mobile crowd-sourcing platform
- Crowdsourcing ground truth generation
- Document Analysis
- Computer Vision
Fuente:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Ingeniería de software
- Ciencias de la computación
Áreas temáticas:
- Ciencias de la computación