JOURNAL ARTICLE

Reference-free objective quality metrics for MPEG-coded video

Hui ChengJeffrey Lubin

Year: 2005 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 5666 Pages: 160-160   Publisher: SPIE

Abstract

With the growth of digital video delivery, there is an increasing demand for better and more efficient ways to measure video quality. Most existing video quality metrics are reference-based approaches that are not suitable to measure the video quality perceived by the end user without access to reference videos. In this paper, we propose a reference-free video quality metric for MPEG coded videos. It predicts subjective quality ratings using both reference-free MPEG artifact measures and MPEG system parameters (known or estimated). The advantage of this approach is that it does not need a precise separation of content and artifact or the removal of any artifacts. By exploring the correlations among different artifacts and system parameters, our approach can remove content dependency and achieve an accurate estimate of the subjective ratings.

Keywords:
Computer science Video quality Artifact (error) Metric (unit) Subjective video quality Quality (philosophy) Measure (data warehouse) Artificial intelligence Dependency (UML) Video compression picture types Computer vision Video tracking Video processing Multimedia Image quality Data mining Image (mathematics)

Metrics

8
Cited By
1.13
FWCI (Field Weighted Citation Impact)
0
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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