No-reference video quality metric for HDTV based on H.264/AVC bitstream features

No-reference video quality metrics are becoming ever more popular, as they are more useful in real-life applications compared to full-reference metrics. Many proposed metrics extract features related to human perception from the individual video frames. Hence the video sequences have to be decoded f...

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Bibliographic Details
Published in2011 18th IEEE International Conference on Image Processing pp. 3325 - 3328
Main Authors Keimel, C., Klimpke, M., Habigt, J., Diepold, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
1080p25
Data models
Feature extraction
H.264/AVC
HDTV
Image coding
Measurement
no-reference metric
subjective testing
video quality metric
Video sequences
visual quality
Visualization
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Summary:No-reference video quality metrics are becoming ever more popular, as they are more useful in real-life applications compared to full-reference metrics. Many proposed metrics extract features related to human perception from the individual video frames. Hence the video sequences have to be decoded first, before the metrics can be applied. In order to avoid decoding just for quality estimation, we therefore present in this contribution a no-reference metric for HDTV that uses features directly extracted from the H.264/AVC bitstream. We combine these features with the results from subjective tests using a data analysis approach with partial least squares regression to gain a prediction model for the visual quality. For verification, we performed a cross validation. Our results show that the proposed no-reference metric outperforms other metrics and delivers a correlation between the quality prediction and the actual quality of 0.93.
ISBN:1457713047
9781457713040
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2011.6116383