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- W4317388005 abstract "Multimedia video quality evaluation system plays an important role in modern Internet applications, such as WebRTC-based video conference. However, video quality may be affected during transmission because of noise or network congestion. Constructing an end-to-end intelligent video transmission monitoring system is of great significance. We design a system based on no-reference quality assessment, which can be used to evaluate the video-based object quality evaluation. More specifically, we first leverage Gabor filter for video segmentation. Then we conduct image smoothness estimation to measure the correlation between two adjacent frames. Subsequently, we consider two states of video distortion: compression and video transmission. We model these two states, respectively. We compare our VQA algorithm with a set of well-known NR-IQA. The reported VQA accuracies have clearly shown the superiority of our proposed video quality predictor." @default.
- W4317388005 created "2023-01-19" @default.
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- W4317388005 date "2023-01-19" @default.
- W4317388005 modified "2023-10-16" @default.
- W4317388005 title "(Retracted) Simulating human visual perception behaviors for video quality assessment" @default.
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- W4317388005 doi "https://doi.org/10.1117/1.jei.32.6.062508" @default.
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