Packet loss will make severe errors due to the corruption of related video data. For most video streams, because the predictive\ncoding structures are employed, the transmission errors in one frame will not only cause decoding failure of itself at the receiver\nside, but also propagate to its subsequent frames along the motion prediction path, which will bring a significant degradation of\nend-to-end video quality. To quantify the effects of packet loss on video quality, a no-reference objective quality assessment model\nis presented in this paper. Considering the fact that the degradation of video quality significantly relies on the video content, the\ntemporal complexity is estimated to reflect the varying characteristic of video content, using the macroblocks with different motion\nactivities in each frame. Then, the quality of the frame affected by the reference frame loss, by error propagation, or by both of them is\nevaluated, respectively. Utilizing a two-level temporal pooling scheme, the video quality is finally obtained. Extensive experimental\nresults show that the video quality estimated by the proposed method matches well with the subjective quality.
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