Abstract
It is an important part to efficiently evaluate the video quality for user experience in video systems. Traditional video evaluation criterion is strict for testing environment, and is not appropriate for real-time evaluation on network vid- eo. No-reference video quality assessment doesn't require any information of original video, which makes it meet the characteristics of high real-time evaluation on network video image quality and small resource reduction. By extracting key parameters distorted by characteristic video in H.264/AVC video stream flow including quantification parameter, en- coding rate and bits of each macro block of coding video, the paper establishes no-reference video quality assessment model from the space complexity and time complexity of video. For the model, not only the model is not complicated, and can meet the requirement of real-time quality assessment of video, the simulation test but also proves that the correlation between the algorithm and subjective assessment value is high, which meets visual perception feature of human eye.
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