This paper presents our approach for the Crowd Sourcing Task of the MediaEval 2014 Benchmark. The proposed solution is based on the assumption that the number of Human Intelligence Tasks (HITs) completed by a worker is representative of his diligence, making workers who completing high volumes of work more reliable than low-performing workers. Our approach gives a baseline evaluation indicating...

This demo paper introduces an editor for manual annotation of locations in digital books, using a crowd-sourcing approach. It is the first of its kind and allows book lovers and literary travel enthusiasts to annotate the locations in their digital books on-the-go. We show both a mobile and a desktop version, and briefly explain the linkage to the Digital Library that is holding the digital books.

A recent development in Geographic Information Systems is the use of crowd-sourcing to acquire and share information that was difficult to collect, organize and update in the past. Taking into consideration that the people entering data into the system might not have geographic training, an important concern is related to accessibility. In this paper we propose an algorithm for evaluating acces...

In the diversity task, our strategy was to, first, try to improve relevance, and then to cluster similar images to improve diversity. We propose a four step framework, based on AHC clustering and different reranking strategies. A large number of tests on devset showed that most of the best strategies include text based reranking for pertinence, and visual clustering for diversity even compared ...

By incorporating human workers into the query execution process crowd-enabled databases facilitate intelligent, social capabilities like completing missing data at query time or performing cognitive operators. But despite all their flexibility, crowd-enabled databases still maintain rigid schemas. In this paper, we extend crowd-enabled databases by flexible query-driven schema expansion, allowi...

Crowd-sourcing has attracted much attention due to its growing importance society, and numerous studies have been conducted on task allocation wage determination. Recent works focused optimizing workers' wages, simultaneously. However, existing methods do not provide good solutions for real-world crowd-sourcing platforms the low approximation ratio or myopic problem settings. We tackle an optim...