TY - CHAP
T1 - Adaptive SVC-DASH Video Streaming Using the Segment-Set-Based Backward Quality’s Increment Control
AU - Huang, Chung Ming
AU - Wang, Han I.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This paper proposed a Scalable Video Coding (SVC) based Dynamic Adaptive Streaming over HTTP (SVC-DASH) method using the Multi-access Edge Computing (MEC) technique over the vehicular network. Instead of using one video segment as the downing unit, the proposed method devises the concept of Video Segment Set (VSS), for which a layer of those video segments delimited in a VSS is considered as a downloading unit. Then, the buffer-aware VSS-based bitrate adaptation through the backward quality’s increment streaming control, which was executed in a MEC server, was proposed for SVC-DASH video streaming. Based on the results of performance evaluation, the proposed method can (i) enhance video quality, (ii) avoid video stalling and (iii) supplement video quality to the top level depending on the networking situation for vehicular network’s SVC-DASH video streaming.
AB - This paper proposed a Scalable Video Coding (SVC) based Dynamic Adaptive Streaming over HTTP (SVC-DASH) method using the Multi-access Edge Computing (MEC) technique over the vehicular network. Instead of using one video segment as the downing unit, the proposed method devises the concept of Video Segment Set (VSS), for which a layer of those video segments delimited in a VSS is considered as a downloading unit. Then, the buffer-aware VSS-based bitrate adaptation through the backward quality’s increment streaming control, which was executed in a MEC server, was proposed for SVC-DASH video streaming. Based on the results of performance evaluation, the proposed method can (i) enhance video quality, (ii) avoid video stalling and (iii) supplement video quality to the top level depending on the networking situation for vehicular network’s SVC-DASH video streaming.
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U2 - 10.1007/978-3-031-57840-3_25
DO - 10.1007/978-3-031-57840-3_25
M3 - Chapter
AN - SCOPUS:85191327712
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 274
EP - 285
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -