A priority-based adaptive scheme for multi-view live streaming over HTTP

Zhang, Weizhan; Ye, Shuyan; Li, Bin; Zhao, Hui

doi:10.1016/j.comcom.2016.04.001

Cited by 10 publications

(9 citation statements)

References 20 publications

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“…Perhaps most closely related to our work is the work of Zhang et al [53], and that of Hamza and Hefeeda [6]. Zhang et al [53] combine HAS and multi-view streaming, but for a context in which clients view all video streams concurrently, rather than switch from stream to stream as they change viewpoints.…”

Section: H Bandwidth Variationsmentioning

confidence: 98%

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Optimized Adaptive Streaming of Multi-video Stream Bundles

Carlsson

Eager

Krishnamoorthi

et al. 2017

IEEE Trans. Multimedia

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Abstract-In contrast to traditional video, multi-view video streaming allows viewers to interactively switch among multiple perspectives provided by different cameras. One approach to achieving such a service is to encode the video from all of the cameras into a single stream, but this has the disadvantage that only a portion of the received video data will be used, namely that required for the selected view at each point in time. In this paper we introduce the concept of a "multi-video stream bundle" that consists of multiple parallel video streams that are synchronized in time, each providing the video from a different camera capturing the same event or movie. For delivery we leverage the adaptive features and time-based chunking of HTTPbased Adaptive Streaming (HAS), but now employing adaptation in both content and rate. Users are able to change their viewpoint on-demand and the client player adapts the rate at which data is retrieved from each stream based on the user's current view, the probabilities of switching to other views, and the user's current bandwidth conditions. A crucial component of such a system is the prefetching policy. For this we present an optimization model as well as a simpler heuristic that can balance the playback quality and the probability of playback interruptions. After analytically and numerically characterizing the optimal solution, we present a prototype implementation and sample results. Our prefetching and buffer management solution is shown to provide close to seamless playback switching when there is sufficient bandwidth to prefetch the parallel streams.

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Section: H Bandwidth Variationsmentioning

confidence: 98%

“…Zhang et al [53] combine HAS and multi-view streaming, but for a context in which clients view all video streams concurrently, rather than switch from stream to stream as they change viewpoints. In the work of Zhang et al, each stream is allocated a separate buffer.…”

Section: H Bandwidth Variationsmentioning

confidence: 99%

Optimized Adaptive Streaming of Multi-video Stream Bundles

Carlsson

Eager

Krishnamoorthi

et al. 2017

IEEE Trans. Multimedia

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“…It is worth mentioning that video quality is subjective, and while it is relatively straightforward to distinguish between the importance of different segments of the video stream, based on their relative impact on video quality, it is difficult to quantify these differences. In Reference [3,[28][29][30], priority-based scheduling algorithms are proposed, with the priority function taking into account the importance of different frame types, channel conditions, buffer state and the relative start time of the video streams of the users. At the beginning of a time slot the scheduler computes the priorities of all users and schedules the one with the highest priority to transmit.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems

et al. 2020

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The recent advancements of wireless technology and applications make downlink scheduling and resource allocations an important research topic. In this paper, we consider the problem of downlink scheduling for multi-user scalable video streaming over orthogonal frequency division multiple access (OFDMA) channels. The video streams are precoded using a scalable video coding (SVC) scheme. We propose a fuzzy logic-based scheduling algorithm, which prioritises the transmission to different users by considering video content, and channel conditions. Furthermore, a novel analytical model and a new performance metric have been developed for the performance analysis of the proposed scheduling algorithm. The obtained results show that the proposed algorithm outperforms the content-blind/channel aware scheduling algorithms with a gain of as much as 19% in terms of the number of supported users. The proposed algorithm allows for a fairer allocation of resources among users across the entire sector coverage, allowing for the enhancement of video quality at edges of the cell while minimising the degradation of users closer to the base station.

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“…Zhang et al [24] propose a priority-based adaptive scheme for HAS-based MV streaming, in case that video streams of different scenes (views) are simultaneously transmitted over the bandwidth-constrained network by the server. The encoded quality bitrate is scheduled according to the priority of each view that the client requests.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Streaming in Interactive Multiview Video Systems

Zhang

Toni

Frossard

et al. 2019

IEEE Trans. Circuits Syst. Video Technol.

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Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimumdelay. A real feeling of scene navigation is enabled by transmitting multiple high-quality camera views, which can be used to synthesize additional virtual views to offer a smooth navigation. However, when network resources are limited, not all camera views can be sent at high quality. It is therefore important, yet challenging, to find the right tradeoff between coding artifacts (reducing the quality of camera views) and virtual synthesis artifacts (reducing the number of camera views sent to users). To this aim, we propose an optimal transmission strategy for interactive multiview HTTP adaptive streaming (HAS). We propose a problem formulation to select the optimal set of camera views that the client requests for downloading, such that the navigation quality experienced by the user is optimized while the bandwidth constraints are satisfied. We show that our optimization problem is NP-hard, and we therefore develop an optimal solution based on the dynamic programming algorithm with polynomial time complexity. To further simplify the deployment, we present a suboptimal greedy algorithm with effective performance and lower complexity. The proposed controller is evaluated in theoretical and realistic settings characterized by realistic network statistics estimation, buffer management and server-side representation optimization. Simulation results show significant improvement in terms of navigation quality compared with alternative baseline multiview adaptation logic solutions.

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A priority-based adaptive scheme for multi-view live streaming over HTTP

Cited by 10 publications

References 20 publications

Optimized Adaptive Streaming of Multi-video Stream Bundles

Optimized Adaptive Streaming of Multi-video Stream Bundles

An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems

Adaptive Streaming in Interactive Multiview Video Systems

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