Year: 2012
Type: conference-paper
Abstract: This paper introduces a conceptual and architectural framework for addressing the design, execution and verification of tasks by a crowd of performers.The proposed framework is substantiated by an ongoing application to a problem of trademark logo detection in video collections.Preliminary results show that the contribution of crowds can improve the recall of state-of-the-art traditional algorithms, with no loss in terms of precision.However, task-to-executor matching, as expected, has an important influence on the task performance.
Institution: Politecnico di Milano
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2404484773