Paper Info
Title
Subjective Quality Estimation Model For Video Streaming Services With Dynamic Bit-Rate Control
Abstract
This paper proposes a subjective model for estimating the quality of video streaming services with dynamic bit-rate control. In a subjective quality assessment test, we clarify users' perceptions of distributed video signals whose quality is time-variant due to dynamic bit-rate control. Using this result, we constructed an estimation model considering the following three characteristics: 1) the influence of the video section where quality degradation is large will strongly affect the overall quality, 2) the impression of a past quality weakens with the passage of time, and 3) the range of evaluation scores becomes wider when the time duration of an evaluation is longer. We found that the proposed model enables the accuracy of estimating overall subjective quality to be dramatically improved compared with that of a model that averages segmental quality. The estimation error of the proposed model is less than the statistical reliability of the subjective score even for verification data. We also show that our findings are applicable to QoS design/management issues for video streaming services with dynamic bit-rate control.
Year
DOI
Venue
2006
10.1093/ietcom/e89-b.2.297
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
video streaming, dynamic bit-rate control, QoS, quality estimation, subjective assessment
Service quality,Segmentation,Impression,Computer science,Simulation,Image quality,Quality of service,Real-time computing,Subjective video quality,Video quality,Perception,Distributed computing
Journal
Volume
Issue
ISSN
E89B
2
0916-8516
Citations 
PageRank 
References 
6
0.53
0
Authors
4
Name
Order
Citations
PageRank
Takanori Hayashi114921.87
Ginga Kawaguti271.56
Jun Okamoto3122.87
Akira Takahashi4337.98