JOURNAL ARTICLE

Real-time Multimedia Quality Assessment Based on Media Delay Index and Support Vector Machine

Abstract

The more areas the multimedia used in, the more effective measures about quality of service are required. This paper presents a new method for multimedia quality assessment. This method uses media delivery index algorithm to analyze the situation of current network and get a series of index as media attributes. Using an intelligent algorithm - support vector machine as a classifier which maps the network parameters with end-userspsila feeling. This is a no-reference method to evaluate the media quality. There is no need to access the original signal in the operation phase, and the obtained results correlate well with human perception. And compared with the neural network quality assessment, the new method is more stable and expansive. So this method can be widely used in real-time system to calculate the magnitude of quality of service automatically.

Keywords:
Computer science Support vector machine Quality of service Artificial neural network Mean opinion score Artificial intelligence IPTV Quality (philosophy) Data mining Service quality Multimedia Machine learning Service (business) Computer network

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
6
Refs
0.13
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Simulation and Modeling Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Image and Video Stabilization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Decision-Making Techniques
Physical Sciences →  Computer Science →  Information Systems

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