研究目的
To introduce a new video quality model (VQM_VFD) that accounts for the perceptual impact of variable frame delays (VFD) in videos and to evaluate its performance on the LIVE mobile video quality assessment (VQA) database.
研究成果
The VQM_VFD model significantly outperforms existing top-performing image quality assessment and VQA models in predicting human subjective judgments of visual quality, especially for compression, wireless packet-loss, and rate adaptation. However, there remains room for improvement, particularly in handling temporal dynamics and color distortions.
研究不足
The VQM_VFD model does not account for color distortions and is less effective for temporal dynamics. The study was limited to the LIVE Mobile VQA database, which may not cover all possible video impairments.
1：Experimental Design and Method Selection:
The study involved the development of the VQM_VFD model, which uses perceptual features extracted from spatial-temporal blocks and a long edge detection filter to predict video quality by measuring multiple frame delays.
2：Sample Selection and Data Sources:
The LIVE Mobile VQA database was used, which contains a variety of video impairments typical of heavily loaded wireless networks.
3：List of Experimental Equipment and Materials:
The study utilized the VQM_VFD algorithm and the LIVE Mobile VQA database.
4：Experimental Procedures and Operational Workflow:
The performance of VQM_VFD was evaluated through correlation analysis and statistical hypothesis testing against human subjective judgments.
5：Data Analysis Methods:
The analysis included Spearman Rank Order Correlation Coefficient (SROCC), Pearson’s (Linear) Correlation Coefficient (LCC), and root mean-squared-error (RMSE) to compare model performance.
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