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Quantification of YouTube QoE via Crowdsourcing
- T. Hossfeld, Michael Seufert, Matthias Hirth, T. Zinner, P. Tran-Gia, R. Schatz
- Computer ScienceIEEE International Symposium on Multimedia
- 5 December 2011
The results suggest that, crowd sourcing is a highly effective QoE assessment method not only for online video, but also for a wide range of other current and future Internet applications.
Best Practices for QoE Crowdtesting: QoE Assessment With Crowdsourcing
- T. Hossfeld, Christian Keimel, P. Tran-Gia
- Computer ScienceIEEE transactions on multimedia
- 1 February 2014
The focus of this article is on the issue of reliability and the use of video quality assessment as an example for the proposed best practices, showing that the recommended two-stage QoE crowdtesting design leads to more reliable results.
Anatomy of a Crowdsourcing Platform - Using the Example of Microworkers.com
- Matthias Hirth, T. Hossfeld, P. Tran-Gia
- Computer ScienceFifth International Conference on Innovative…
- 30 June 2011
An inside view of the usage data from Micro workers is given and it is shown that there are significant differences to the well studied MTurk.
Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms
YoMo: A YouTube Application Comfort Monitoring Tool
YoMo is described, a tool which constantly monitors the YouTube application comfort and quantifies the application operation condition and allows a QoE prediction and experiments show that YoMo is able to exactly anticipate an upcoming YouTubeQoE degradation.
Modeling of crowdsourcing platforms and granularity of work organization in Future Internet
- T. Hossfeld, Matthias Hirth, P. Tran-Gia
- Computer Science23rd International Teletraffic Congress (ITC)
- 6 September 2011
A deterministic fluid model is developed which is an extension of the SIR model of epidemics, in order to investigate the platform dynamics of a crowdsourcing platform, using the Microworkers.com platform as example.
Cheat-Detection Mechanisms for Crowdsourcing
- Matthias Hirth
- Computer Science
Two crowd- based approaches to detect cheating workers are presented and both are evaluated with regard to their detection quality, their costs and their applicability to different types of typical crowdsourcing tasks.
Measuring one-way delay in wireless mesh networks: an experimental investigation
- B. Staehle, D. Staehle, R. Pries, Matthias Hirth, P. Dely, A. Kassler
- Computer SciencePM2HW2N '09
- 26 October 2009
This paper develops, implemented, and evaluated an one-way delay estimation technique for wireless mesh networks which is based on estimating intra node queuing and inter node forwarding delay, and shows how estimation accuracy depends on network load and provides insights into further improvements.
Best Practices and Recommendations for Crowdsourced QoE - Lessons learned from the Qualinet Task Force Crowdsourcing
This white paper summarizes the recommendations and best practices for crowdsourced quality assessment of multimedia applications from the Qualinet Task Force on “Crowdsourcing” and resulted from the experience in designing, implementing, and conducting crowdsourcing experiments as well as the analysis of the crowdsourced user ratings and context data.
Unemployment and Online Labor
- Kathrin Borchert, Matthias Hirth, Michael E. Kummer, U. Laitenberger, Olga Slivko, Steffen Viete
Online labor markets experienced a rapid growth in recent years. They allow for long-distance transactions and offer workers access to a potentially ‘global’ pool of labor demand. As such, they bear…