# Personalized Online Live Video Streaming Using Softmax-Based Multinomial Classification
## 4 Experiments
### Experimental Results  
The UAS method proposed in this work controls the priority of the video unit (chunk) through user viewing patterns. Therefore, the loading time according to the adjusted priority application is an important criterion in the performance evaluation. The length of the chunk in the video for each category was designed using the reference video in Figure 7. For example, if the number of chunks was 8, the chunk length would be set as the the total length divided by 8. Thus, in the case of the video in the SF category, the total length was 2 min and the length of one partial unit (\"chunk\") was 15 s. Accordingly, the total time to load all eight chunks sequentially was 48 s, so the time to load a single chunk was six seconds. In this way, the length of one partial unit (chunk) of the video in the romance category was 15 s, and the time of loading one chunk was 1.875 s. In a similar way, the length of one partial unit (chunk) of the video in the sports category was 13.125 s, and the time of loading one chunk was 4.375 s. Moreover, the length of one partial unit (chunk) of the video in the documentary category was 21.875 s, and the time of loading one chunk was 9.75 s. Finally, the length of one partial  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Title**} & **Video** & **Total** & **Loading** & **Quality** & **Category** \\  & **ID** & **Length** & **Time** & **Quality** & **Category** \\ \hline Along With the Gods & 5Z6 XSZcV27Q & 2:00 & 0:48 & 480p & SF \\ Love, Rosie & 5 zL3J/Kygd4 & 2:01 & 0:15 & 480p & Romance \\ Relay of Nexen & 91 KmOLt-Fg & 1:45 & 0:35 & 480p & Sport \\ Golden Shoes & Hz2 NlrpabXw0 & 2:55 & 1:18 & 480p & Documentary \\ Familyhood & rvxGpkkjRyw & 1:24 & 0:32 & 480p & Comedy \\ \hline \hline \end{tabular}
\end{table}
Table 1: Detailed information about the movie list.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Category** & **SF** & **Romance** & **Sport** & **Documentary** & **Comedy** \\ \hline Chunk \#1 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \\... &... &... &... &... &... \\ Chunk \#10 & 0.1 & 0.1 & 0.1 & 0.1 & 0.1 \\ \hline \hline \end{tabular}
\end{table}
Table 2: The initial value of the priority per category.  
Figure 7: List of videos used to evaluate the UAS method.  
unit (chunk) of the video in the comedy category was 10.5 s, and the time of loading one chunk was 4 s. This is summarized in Table 4.  
Based on Table 4, the user's video viewing patterns were applied to compare the performance. To conduct this comparison, it was assumed that the chunk of each video was skipped one time so that the user skipped the same chunk once, not several times. Moreover, we compared the performance of viewing with and without UAS. The playback of each image was started when one half of the chunk was loaded, and the system waited until the loading finished. As a result, Figure 8 shows the loading time with and without UAS applied.  
As shown in Figure 8, the UAS method may incur some waiting time when in the sequential playback mode. On the other hand, when the user viewing pattern is applied, there is almost no waiting time. However, the sum of those two is significantly lower than when the UAS technique is not applied. To that end, we conclude that the QoE index of users who leverage this streaming service with the UAS method applied, as measured by the waiting time, will increase.