A DASH-based HEVC multi-view video streaming system

Su, Tianyu; Sobhani, Ashkan; Yassine, Abdulsalam; Shirmohammadi, Shervin; Javadtalab, Abbas

doi:10.1007/s11554-015-0504-8

Cited by 17 publications

(17 citation statements)

References 26 publications

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“…Related works have looked at different ways of making this content available at the viewer. Video and network coding of multi-view videos have been used in both the broadcast and unicast domain [169], [170], [171], [172], [173]. With these schemes, multiple views or streams are typically synthesized into a single stream (using redundant information for compression) and some of these techniques even facilitate generation of virtual views [174], [175] (views generated based on computation of two or more views).…”

Section: Multi-view Video Streamingmentioning

confidence: 99%

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Krishnamoorthi¹

2018

Linköping Studies in Science and Technology. Dissertations

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Online video streaming has gained tremendous popularity over recent years and currently constitutes the majority of Internet traffic. As large-scale ondemand streaming continues to gain popularity, several important questions and challenges remain unanswered. This thesis addresses open questions in the areas of efficient content delivery for HTTP-based Adaptive Streaming (HAS) from different perspectives (client, network and content provider) and in the design, implementation, and evaluation of interactive streaming applications over HAS.As streaming usage scales and new streaming services emerge, continuous improvements are required to both the infrastructure and the techniques used to deliver high-quality streams. In the context of Content Delivery Network (CDN) nodes or proxies, this thesis investigates the interaction between HAS clients and proxy caches. In particular, we propose and evaluate classes of content-aware and collaborative policies that take advantage of information that is already available, or share information among elements in the delivery chain, where all involved parties can benefit. Asides from the users' playback experience, it is also important for content providers to minimize users' startup times. We have designed and evaluated different classes of client-side policies that can prefetch data from the videos that the users are most likely to watch next, without negatively affecting the currently watched video. To help network providers to monitor and ensure that their customers enjoy good playback experiences, we have proposed and evaluated techniques that can be used to estimate clients' current buffer conditions. Since several services today stream over HTTPS, our solution is adapted to predict client buffer conditions by only observing encrypted network-level traffic. Our solution allows the operator to identify clients with low-buffer conditions and implement policies that help avoid playback stalls.The emergence of HAS as the de facto standard for delivering streaming content also opens the door to use it to deliver the next generation of streaming services, such as various forms of interactive services. This class of services is gaining popularity and is expected to be the next big thing in entertainment. For the area of interactive streaming, this thesis proposes, models, designs, and evaluates novel streaming applications such as interactive branched videos and multi-video stream bundles. For these applications, we design and evaluate careful prefetching policies that provides seamless playback (without stalls or switching delay) even when interactive branched video viewers defer their choices to the last possible moment and when users switches between alternative streams within multi-video stream bundles. Using optimization frameworks, we design and implement effective buffer management techniques for seamless playback experiences and evaluate several tradeoffs using our policies. Populärvetenskaplig sammanfattningInternet och World Wide Web (WWW) har vuxit till vik...

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Section: Multi-view Video Streamingmentioning

confidence: 99%

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Krishnamoorthi¹

2018

Linköping Studies in Science and Technology. Dissertations

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“…Other related works have used HAS for multi-view streaming [3], [4], region-of-interest (ROI) based tiled streaming [9], [10], [50], [51], or systems in which video from multiple cameras is combined into personalized wide-field-of-view panorama video experiences [52]. All these works combine video streams from multiple cameras or use tiles from ultra-high resolution omni-directional (360…”

Section: H Bandwidth Variationsmentioning

confidence: 99%

“…One way to provide multi-view streaming is to encode the video from all views into a single stream [1], [2], [3], [4]. However, this approach has the disadvantage that only a portion of the received video data will be used, implying lower achievable video quality given fixed client bandwidth.…”

Section: Introductionmentioning

confidence: 99%

“…Although there are recent works on multi-view video streaming [3], [4] and tiled streaming [10], [9] that have used a HAS-based design, to the best of our knowledge, our framework is the first to perform quality adaptation of a set of conventional video-on-demands streams based on both current bandwidth conditions and switching probabilities. In contrast to free viewpoint videos [6], the video streams in a stream bundle can be individual recordings and require no depth information.…”

Section: Introductionmentioning

confidence: 99%

“…This is particularly important for content providers that would make large bundles available. In contrast, many multi-view video streaming solutions encode all views (popular and less popular) into a single stream [1], [2], [3], [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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An efficient transmission method based on HEVC multi-view adaptive video streaming over P2P network in NFV

Van

Kim

et al. 2018

J Supercomput

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A DASH-based HEVC multi-view video streaming system

Cited by 17 publications

References 26 publications

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Optimized Adaptive Streaming of Multi-video Stream Bundles

An efficient transmission method based on HEVC multi-view adaptive video streaming over P2P network in NFV

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