SVC-DASH-M: Scalable video coding dynamic adaptive streaming over HTTP using multiple connections

Ibrahim, Samar; Zahran, Ahmed H.; Ismail, Mahmoud H.

doi:10.1109/ict.2014.6845147

Cited by 13 publications

(6 citation statements)

References 8 publications

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“…The transmission of SVC video has been shown to have some benefits [32], with some researchers having combined the use of DASH with SVC video [18] [16] to use the advantages of the scalable video coding.…”

Section: Scalable Video Codingmentioning

confidence: 99%

Low Latency Low Loss Media Delivery utilizing In-Network Packet Wash

Clayman

Sayıt

2022

Preprint

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This paper investigates how to carry streams of layered video using Scalable Video Coding (SVC) from servers to clients, utilizing the Packet Wash mechanism devised for the Big Packet Protocol (BPP). The mechanisms utilized are presented together with the video’s path through the network. BPP was designed to handle the transfer of packets for high-bandwidth, low-latency applications, aiming to overcome a number of issues current networks have with high precision services. One of the most important advantages of BPP is that it allows the dynamic adaption of packets during transmission. BPP is based on the idea of injecting meta-information into packets in order to provide programma-bility for network nodes on how to process those packets, and that given specific commands, a node can drop parts of the payload. The strategy BPP uses is to reduce the payload of a packet, and its size, by eliminating specific chunks. For video, this means cutting out specific segments of the transferred video, rather than dropping packets, or retrying the transmission of packets. This approach has proved to be an effective way to enhance the performance of video streaming applications, by obtaining continuous delivery, while maintaining guaranteed quality at the receiver. In this work we have successfully used an H264 Scalable Video Codec (SVC) encoded video for layered video transmission utilizing BPP, and can demonstrate video delivery with low latency and low loss in limited bandwidth environments.

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Section: Scalable Video Codingmentioning

confidence: 99%

Low Latency Low Loss Media Delivery utilizing In-Network Packet Wash

Clayman

Sayıt

2022

Preprint

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“…SVC-DASH-M [28] is an SVC-based HAS system that uses multiple networks. This uses several parameters related to the QoE factor to determine the quality of the segment.…”

Section: Background and Related Work A Http Adaptive Streamingmentioning

confidence: 99%

Layer-Assisted Video Quality Adaptation for Improving QoE in Wireless Networks

Park

Chung

2020

IEEE Access

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HTTP adaptive streaming (HAS) is a state-of-the-art technology for video streaming. Optimal adaptive streaming schemes should be designed to maximize the quality of experience (QoE) in network environments with unstable bandwidths such as wireless networks. QoE is degraded for Advanced Video Coding (AVC)-based HAS due to frequent quality switching and rebuffering in wireless networks. Meanwhile, Scalable Video Coding (SVC)-based HAS can maximize the QoE by flexibly requesting the base layer (BL) and enhancement layer (EL) based on variable network conditions. However, in SVC-based HAS, the required bandwidth is significantly high due to the encoding overhead. In this paper, we propose a layer-assisted video quality adaptation for improving QoE in wireless networks. The proposed scheme employs a video encoding method, composed of multiple BLs and ELs, using both AVC and SVC. The quality of the BL is determined using the buffer occupancy level and measured bandwidth to minimize rebuffering. The quality of the EL is determined using the buffer region and segment quality differences to minimize instability. enhancement dummy (ED) consists of the selected ELs. The layer scheduler decides the segment that is to be requested based on the QoE model according to the BL and ED to maximize the QoE. Experimental results show that the proposed scheme achieves high QoE compared to the existing schemes because the instability is low and no rebuffering occurs.INDEX TERMS HTTP adaptive streaming, wireless network, quality of experience, scalable video coding.

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“…More complex encoding scenarios, exploiting the inter-view redundancy by using scalable video coding, have been successfully used to create adaptation sets for adaptive streaming of perspective videos [17,20,33], even in the case of multi-view perspective videos, as discussed in Section 2. While such scalable encoding solutions could be suitable for the MVP 360°scenario, eventually in combination with tiling, these options are out of the scope of this paper: we only consider encoding scenarios that do not use scalability.…”

Section: No Tilingmentioning

confidence: 99%

Dynamic adaptive streaming for multi-viewpoint omnidirectional videos

Corbillon

Simone

Simon

et al. 2018

Proceedings of the 9th ACM Multimedia Systems Conference

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Full immersion inside a Virtual Reality (VR) scene requires six Degrees of Freedom (6DoF) applications where the user is allowed to perform translational and rotational movements within the virtual space. The implementation of 6DoF applications is however still an open question. In this paper we study a multi-viewpoint (MVP) 360-degree video streaming system, where a scene is simultaneously captured by multiple omnidirectional video cameras. The user can only switch positions to predefined viewpoints (VPs). We focus on the new challenges that are introduced by adaptive MVP 360-degree video streaming. We introduce several options for video encoding with existing technologies, such as High Efficiency Video Coding (HEVC) and for the implementation of VP switching. We model three video-segment download strategies for an adaptive streaming client into Mixed Integer Linear Programming (MILP) problems: an omniscient download scheduler; one where the client proactively downloads all VPs to guarantee fast VP switch; one where the client reacts to the user's navigation pattern. We recorded a one MVP 360-degree video with three VPs, implemented a mobile MVP 360-degree video player, and recorded the viewing patterns of multiple users navigating the content. We solved the adaptive streaming optimization problems on this video considering the collected navigation traces. The results emphasize the gains obtained by using tiles in terms of objective quality of the delivered content. They also emphasize the importance of performing further study on VP switching prediction to reduce the bandwidth consumption and to measure the impact of VP switching delay on the subjective Quality of Experience (QoE). Part of the research published in this paper was conducted while Francesca De Simone was affiliated to the LTS4 at EPFL. The authors thanks the Swisscom Innovation Lab for providing the omnidirectional cameras used to record the content and Meryem Wehbe who implemented the MVP 360-degree player used to collect the navigation patterns used in this study.

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SVC-DASH-M: Scalable video coding dynamic adaptive streaming over HTTP using multiple connections

Cited by 13 publications

References 8 publications

Low Latency Low Loss Media Delivery utilizing In-Network Packet Wash

Low Latency Low Loss Media Delivery utilizing In-Network Packet Wash

Layer-Assisted Video Quality Adaptation for Improving QoE in Wireless Networks

Dynamic adaptive streaming for multi-viewpoint omnidirectional videos

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