TY - JOUR
T1 - Stepwise adaptive video streaming in the wireless mobile network using the temporal-geo bandwidth estimation method
AU - Huang, Chung Ming
AU - Wei, Rui Xian
N1 - Funding Information:
Received January 31, 2019; accepted April 1, 2019. Communicated by Ren-Hung Hwang. * This work was supported by the Ministry of Science and Technology (MOST), Taiwan under the Grant No. MOST 106-2221-E-006-029.
Publisher Copyright:
© 2021 Institute of Information Science. All rights reserved.
PY - 2021/5
Y1 - 2021/5
N2 - This work proposed a method called Stepwise Adaptive Streaming using Temporal-Geo Bandwidth Estimation (SASTGBE) for the wireless mobile networking environment based on MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH). To have better Quality Of Experience (QoE), e.g., no or fewer quality switching, lower bitrate difference between two continuous video segments, no or fewer suspended times, no or shorter paused time, etc., (1) the proposed method considers location, time, and date for estimating the available bandwidth in the future and (2) the proposed stepwise adaptive streaming control scheme considers buffer level, video quality of the most recently downloaded segment, the downloading rate of the most recently downloaded segment and the estimated bandwidth to decide the video quality for the next downloaded segment. The proposed method has been implemented in the Android system for the client side and the Linux system for the server side. The experiments using SASTGBE in the real environment shown that SASTGBE has improvement in the performance of bandwidth utilization, suspended times, quality switch percentage, average bitrate difference considering suspending, and standard deviation of bitrate difference over the wireless mobile network.
AB - This work proposed a method called Stepwise Adaptive Streaming using Temporal-Geo Bandwidth Estimation (SASTGBE) for the wireless mobile networking environment based on MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH). To have better Quality Of Experience (QoE), e.g., no or fewer quality switching, lower bitrate difference between two continuous video segments, no or fewer suspended times, no or shorter paused time, etc., (1) the proposed method considers location, time, and date for estimating the available bandwidth in the future and (2) the proposed stepwise adaptive streaming control scheme considers buffer level, video quality of the most recently downloaded segment, the downloading rate of the most recently downloaded segment and the estimated bandwidth to decide the video quality for the next downloaded segment. The proposed method has been implemented in the Android system for the client side and the Linux system for the server side. The experiments using SASTGBE in the real environment shown that SASTGBE has improvement in the performance of bandwidth utilization, suspended times, quality switch percentage, average bitrate difference considering suspending, and standard deviation of bitrate difference over the wireless mobile network.
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U2 - 10.6688/JISE.20210537(3).0011
DO - 10.6688/JISE.20210537(3).0011
M3 - Article
AN - SCOPUS:85105929716
SN - 1016-2364
VL - 37
SP - 679
EP - 686
JO - Journal of Information Science and Engineering
JF - Journal of Information Science and Engineering
IS - 3
ER -