# Video Error-Resilience Research Based on Error-Resilient Screen Content
## 4 Experiment Results  
### Experimental Conditions  
HM-16.7-SCM7.0 is an open-source encoder maintained by the HEVC standard development organization JCT-VC [27], which integrates the new coding tools in the SCC standard and greatly improves the coding efficiency of screen content sequences. The video sequences used are all selected from the test sequences recommended in the SCC official general test conditions. The frame structure of the encoder uses a low-latency profile to simulate real-time transmission. The resolution, frame rate, and target bit rate of the experimental sequence are shown in Table 1[27]. Note that some sequences in Table 1 have the same information and bit rate, but their contents are entirely different. As a result, their names are in different forms. In addition, packet loss ratio refers to the ratio of the number of packets lost to the data groups sent during the test.  
Note that the packet loss ratio refers to the ratio of the number of packets lost to the data groups sent during the test. The packet loss in the channel can be simulated by the packet loss simulator. The packet loss simulation software can be obtained from [28]. Packet loss simu  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Sequence**} & \multirow{2}{*}{**Resolution**} & \multirow{2}{*}{**Total Frames**} & \multirow{2}{*}{**Color Mode**} & \multirow{2}{*}{**Frame Rate (Hz)**} & \multicolumn{2}{c}{**Target Bitrate (Kbps)**} \\ \cline{5-6}  & & & & & **Low Bit Rate** & **High Bit Rate** \\ \hline Map & 1280 \(\times\) 720 & 600 & 4:4:4 & 60 & 1000 & 2000 \\ \hline Programming & 1280 \(\times\) 720 & 600 & 4:4:4 & 60 & 1000 & 2000 \\ \hline Robot & 1280 \(\times\) 720 & 300 & 4:4:4 & 30 & 512 & 1000 \\ \hline SlideShow & 1280 \(\times\) 720 & 500 & 4:4:4 & 20 & 128 & 256 \\ \hline Web\_browsing & 1280 \(\times\) 720 & 300 & 4:4:4 & 30 & 128 & 256 \\ \hline Wordedit & 1280 \(\times\) 720 & 600 & 4:4:4 & 60 & 1000 & 2000 \\ \hline Console & 1280 \(\times\) 1080 & 600 & 4:4:4 & 60 & 1000 & 2000 \\ \hline Desktop & 1280 \(\times\) 1080 & 600 & 4:4:4 & 60 & 1000 & 2000 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Experimental video sequence information and corresponding target bit rate.  
packet loss rate (packet loss probability) to simulate the packet loss when the video is transmitting in the channel.  
The PSNR [29] can be evaluated based on:  
\[PSNR=10\cdot\log_{10}(\frac{MAX_{I}^{2}}{MSE}) \tag{23}\]  
\[MSE=\frac{1}{mn}\sum_{l=0}^{m-1}\sum_{j=0}^{n-1}[I(i,j)-K(i,j)] \tag{24}\]  
where \(MAX_{I}\) is the maximum possible pixel value of the image. Because each pixel of an image is represented by 8 bits, the value of \(MAX_{I}\) is 255. \(I(i,j)\) represents the pixel value of the original image at the point \((i,j)\). \(K(i,j)\) represents the pixel value at point of the reconstructed image decoded and reconstructed by the decoder after the code stream is processed by the packet loss simulation software.  
PSNR is the peak signal-to-noise ratio, usually after image compression, the output image will be somewhat different from the original image. A smaller PSNR value indicates that the distortion caused by the embedded information is small. Taking PSNR as the main objective quality evaluation standard, the higher the PSNR value is, the better the video quality gets. That is, PSNR is positively correlated with the algorithm performance. As a result, PSNR is considered as the evaluation index of the proposed scheme.