Perceptual video coding is more intuitive than traditional compression methods such as temporal, spatial, and statistical redundancy. With the popularity of wireless multiplication devices, the transmission of video is an important issue. In order to decrease the transmission time and get better performance, the proposed perceptual evaluation model can save not only bit-rates but also maintain video quality. From the experimental results, by adjusting the quantization parameters (QP) by associating visual properties, it can save about 6%∼21% bit-rates without any noticeable difference in the visual qualities.
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