Guidelines to Implement Video Dataset to Assess Video Quality
- Resource Type
- Conference
- Authors
- Acosta, David; Cuellar, Juan. Carlos; Arciniegas, Jose Luis
- Source
- 2018 IEEE Colombian Conference on Communications and Computing (COLCOM) Communications and Computing (COLCOM), 2018 IEEE Colombian Conference on. :1-6 May, 2018
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Observers
Video sequences
Streaming media
Quality of service
Video recording
Quality assessment
Packet loss
IPTV
quality of experience
quality of service
subjective methods
video transmission
video dataset
video databases
video quality assessment
- Language
This article presents a novel video dataset featuring subjective evaluations, for analyzing performance of models predicting video quality of experience. Dataset Videos were distorted by modifying three quality of service parameters upon transmission over an emulated IP network environment. We obtained 60 distorted videos from 4 original source videos. The article presents criteria for selection of reference videos, the parameters for the subjective evaluation experiment, and the statistical treatment of results. Results evidence the impact of quality of service parameters in the observer-perceived quality. The dataset is publicly available upon request.