Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2506364.2506371 | CrowdMM@ACM Multimedia |
Keywords | Field | DocType |
efficient task formulation,ancient document,mobile crowdsourcing platform,recursive splitting,crowdsourcing platform,task atomization,original task,faster solution,simpler task,computer vision,crowdsourcing | Data mining,Document analysis,Information retrieval,Computer science,Crowdsourcing,Divide and conquer algorithms,Multimedia,Crowdsourcing software development,Recursion | Conference |
Citations | PageRank | References |
7 | 0.57 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ariel Amato | 1 | 52 | 3.23 |
| Angel Domingo Sappa | 2 | 565 | 33.54 |
| Alicia Fornés | 3 | 563 | 48.56 |
| Felipe Lumbreras | 4 | 328 | 28.04 |
| Josep Lladós | 5 | 1329 | 110.51 |