Crowdsourced subjective Video Quality Assessment

This paper describes a crowdsourced subjective video quality method which evaluates various degradation types including wireless packet losses, transmission errors and compression artefacts. In recent times crowdsourcing gained a lot of momentum in various fields. The crowdsourcing method could be used in situations where a larger set of results is needed i.e. in Video Quality Assessment. The aim of this paper is to evaluate the usage of crowdsourcing for subjective video quality assessment and compare it with conventional subjective video quality assessment. To achieve this comparison we used an existing video database. Additionally, description of the crowdsourcing application design and the application usage is given, and its further development is envisaged.