Reduced-reference video quality assessment using a static video pattern

Abstract. A reduced-reference video quality assessment (VQA) method was proposed by using structural similarity (SSIM) index as a tool to extract features from both the original and the target video sequences, using a reference video pattern. The method is suitable for monitoring the video quality in real time and across the service provision chain. The performance of the proposed method was evaluated using a large experimental set of reference and nonreference video sequences and achieves an accuracy higher than 2.56% in comparison to SSIM. Additionally, comparison to subjectively evaluated scores of Laboratory for Image and Video Engineering video quality dataset, based on difference mean opinion scores, shows that the performance of the proposed method is within the range of the full reference VQA methods.

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