Playing chunk-transferred DASH segments at low latency with QLive

Yadav, Praveen Kumar; Bentaleb, Abdelhak; Lim, May Li; Huang, Jian; Ooi, Wei Tsang; Zimmermann, Roger

doi:10.1145/3458305.3463376

Cited by 16 publications

(3 citation statements)

References 55 publications

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“…Although there are remarkable solutions that adapt the quality successfully, satisfying stringent low latency requirements, especially in live video streaming, is still an issue [18]. The use of HTTP Chunked Transfer Encoding (CTE) with the Common Media Application Format (CMAF) is a promising solution to solve this issue [18,32,33]. This approach allows clients to receive smaller parts of the segments and to start playout before the segment is fully downloaded.…”

Section: Low Latency In Video Streamingmentioning

confidence: 99%

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

Clayman

Sayıt

2023

J Netw Syst Manage

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This paper presents new techniques and mechanisms for carrying streams of layered video using Scalable Video Coding (SVC) from servers to clients, utilizing the Packet Wash mechanism which is part of the Big Packet Protocol (BPP). 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 uses Packet Wash to reduce the payload, and the size of a packet by eliminating specific chunks. For video, this means cutting out specific segments of the transferred video, rather than dropping packets, as happens with UDP based transmission, or retrying the transmission of packets, as happens with TCP. The chunk elimination approach is well matched with SVC video, and these techniques and mechanisms are utilized and presented. An evaluation of the performance is provided, plus a comparison of using UDP or TCP, which are the other common approaches for carrying media over IP. Our main contributions are the mapping of SVC video into BPP packets to provide low latency, low loss delivery, which provides better QoE performance than either UDP or TCP, when using those techniques and mechanisms. 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 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: Low Latency In Video Streamingmentioning

confidence: 99%

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

Clayman

Sayıt

2023

J Netw Syst Manage

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“…Yadav et al [16] proposed a combination of techniques collectively called QLive in which they have tried to resolve the fundamental problem of bandwidth estimation for lowlatency live streaming by using existing chunk parser and filtering of downloaded chunk data. They have used an Apache Web server to host the dash.js media player.…”

Section: Related Workmentioning

confidence: 99%

LLL-CAdViSE: Live Low-Latency Cloud-Based Adaptive Video Streaming Evaluation Framework

2023

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Live media streaming is a challenging task by itself, and when it comes to use cases that define low-latency as a must, the complexity will rise multiple times. In a typical media streaming session, the main goal can be declared as providing the highest possible Quality of Experience (QoE), which has proved to be measurable using quality models and various metrics. In a low-latency media streaming session, the requirements are to provide the lowest possible delay between the moment a frame of video is captured and the moment that the captured frame is rendered on the client screen, also known as end-to-end (E2E) latency and maintain the QoE. This paper proposes a sophisticated cloud-based and open-source testbed that facilitates evaluating a low-latency live streaming session as the primary contribution. Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation (LLL-CAdViSE) framework is enabled to asses the live streaming systems running on two major HTTP Adaptive Streaming (HAS) formats, Dynamic Adaptive Streaming over HTTP (MPEG-DASH) and HTTP Live Streaming (HLS). We use Chunked Transfer Encoding (CTE) to deliver Common Media Application Format (CMAF) chunks to the media players. Our testbed generates the test content (audiovisual streams). Therefore, no test sequence is required, and the encoding parameters (e.g., encoder, bitrate, resolution, latency) are defined separately for each experiment. We have integrated the ITU-T P.1203 quality model inside our testbed. To demonstrate the flexibility and power of LLL-CAdViSE, we have presented a secondary contribution in this paper; we have conducted a set of experiments with different network traces, media players, ABR algorithms, and with various requirements (e.g., E2E latency (typical/reduced/low/ultra-low), diverse bitrate ladders, and catch-up logic) and presented the essential findings and the experimental results.

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“…Although there are remarkable solutions that adapt the quality successfully, satisfying stringent low latency requirements especially in live video streaming is still an issue [17]. The use of HTTP Chunked Transfer Encoding (CTE) with the Common Media Application Format (CMAF) is a promising solution to solve this issue [17,30,31]. This approach allows clients to receive smaller parts of the segments and to start playout before the segment is fully downloaded.…”

Section: Low Latency In Video Streamingmentioning

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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Playing chunk-transferred DASH segments at low latency with QLive

Cited by 16 publications

References 55 publications

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

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

LLL-CAdViSE: Live Low-Latency Cloud-Based Adaptive Video Streaming Evaluation Framework

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

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