Abstract
Packet loss will make severe errors due to the corruption of related video data. For most video streams, because the predictive coding structures are employed, the transmission errors in one frame will not only cause decoding failure of itself at the receiver side, but also propagate to its subsequent frames along the motion prediction path, which will bring a significant degradation of end-to-end video quality. To quantify the effects of packet loss on video quality, a no-reference objective quality assessment model is presented in this paper. Considering the fact that the degradation of video quality significantly relies on the video content, the temporal complexity is estimated to reflect the varying characteristic of video content, using the macroblocks with different motion activities in each frame. Then, the quality of the frame affected by the reference frame loss, by error propagation, or by both of them is evaluated, respectively. Utilizing a two-level temporal pooling scheme, the video quality is finally obtained. Extensive experimental results show that the video quality estimated by the proposed method matches well with the subjective quality.
Highlights
Nowadays, the rapid growth of multimedia and network technologies and the popularization of the smart mobile devices greatly stimulate the development of mobile multimedia applications, covering a wide range of scenarios from videophone to mobile internet protocol television (IPTV) [1]
Packet loss seriously impairs the frame quality of the video transmitted over lossy channels, because of the data corruption due to packet loss, and owing to error propagation along the path of motion compensated prediction (MCP)
Considering the different effects of lost packets on a frame, the frames in a video sequence can be classified into four categories: frames without any distortion caused by packet loss, frames affected only by the loss of their reference frame, frames affected by error propagation without reference frame loss, and frames affected by both loss of their reference and error propagation
Summary
The rapid growth of multimedia and network technologies and the popularization of the smart mobile devices greatly stimulate the development of mobile multimedia applications, covering a wide range of scenarios from videophone to mobile internet protocol television (IPTV) [1]. When packet loss occurs, the quality degradation of the frame in the video with high temporal complexity is larger than that with low temporal complexity This is because some temporal error concealment methods only work well if the video content is of low motion activity and the difference between adjacent frames is insignificant [9]. In this case, the distortion caused by the packet loss usually remains quite noticeable even after error concealment operations [14].
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