Abstract
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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Acknowledgments
This work presented in the work has the final support from the Ministry Of Science and Technology (MOST), Taiwan, for which the grant number MOST 111–2221-E-006 -117 -MY3.
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Huang, CM., Wang, HI. (2024). Adaptive SVC-DASH Video Streaming Using the Segment-Set-Based Backward Quality’s Increment Control. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-031-57840-3_25
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DOI: https://doi.org/10.1007/978-3-031-57840-3_25
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