Streaming H.264 scalable video over data distribution service in a wireless environment

Detti, Andrea; Loreti, Paola; Bléfari-Melazzi, Nicola; Fedi, F.

doi:10.1109/wowmom.2010.5534937

Cited by 25 publications

(16 citation statements)

References 2 publications

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“…When extending this approach of splitting transform coefficients into layers to 8 8 macroblocks, there are two approaches in H.264 MGS. One approach is to divide a given 8 8 macroblock into four 4 4 submacroblocks and to split the coefficients of each 4 4 submacroblock according to the above approach illustrated in Fig.…”

Section: B Overview Of Medium Grain Scalability (Mgs)mentioning

confidence: 99%

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H.264 Coarse Grain Scalable (CGS) and Medium Grain Scalable (MGS) Encoded Video: A Trace Based Traffic and Quality Evaluation

Gupta

Pulipaka

Seeling

et al. 2012

IEEE Trans. on Broadcast.

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Abstract-The scalable video coding (SVC) extension of the H.264/AVC video coding standard provides two mechanisms, namely coarse grain scalability (CGS) and medium grain scalability (MGS), for quality scalable video encoding, which varies the fidelity (signal-to-noise ratio) of the encoded video stream. As H.264/AVC and its SVC extension are expected to become widely adopted for the network transport of video, it is important to thoroughly study their network traffic characteristics, including the bit rate variability. In this paper, we report on a large-scale study of the rate-distortion (RD) and rate variability-distortion (VD) characteristics of CGS and MGS. We found that CGS achieves low bit rate overheads in the 10-30% range compared to H.264 SVC single-layer encodings only for encodings with a total of up to three quality levels; more quality levels result in substantially higher overheads. The traffic variabilities of CGS are generally lower than for single-layer streams. We found that in the low to mid range of the MGS quality scalability, MGS can achieve the same or even slightly higher RD efficiency than corresponding single-layer encoding; toward the upper end of the MGS quality scalability range the RD efficiency drops off significantly. MGS layer extraction following the hierarchical B frame structure gives nearly as high RD performance as RD-optimized extraction. In the range of high RD efficiency, MGS streams have significantly higher traffic variabilities than single-layer streams at the frame time scale. At the group-of-pictures (GoP) time scale, MGS has similar or lower levels of traffic variability compared to single-layer streams. Generally, MGS layer extraction over the time horizon of individual GoPs gives significantly lower traffic variability than extraction over the time horizon of the full video sequence.

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Section: B Overview Of Medium Grain Scalability (Mgs)mentioning

confidence: 99%

“…One approach is to divide a given 8 8 macroblock into four 4 4 submacroblocks and to split the coefficients of each 4 4 submacroblock according to the above approach illustrated in Fig. 1.…”

Section: B Overview Of Medium Grain Scalability (Mgs)mentioning

confidence: 99%

H.264 Coarse Grain Scalable (CGS) and Medium Grain Scalable (MGS) Encoded Video: A Trace Based Traffic and Quality Evaluation

Gupta

Pulipaka

Seeling

et al. 2012

IEEE Trans. on Broadcast.

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“…Such as Detti, Loreti and BlefariMelazzi [3] who devised a mechanism for streaming H.264 scalable video using multiple topics and rate control based on the connection between publisher and subscriber. Their result was a system that could alter video quality in order to maintain video delivery when network bandwidth becomes restricted.…”

Section: Related Workmentioning

confidence: 99%

Live video transmission over data distribution service with existing low-power platforms

Bagley

Fehringer

Jin

et al. 2017

Proceedings of the Second International Conference on Internet of Things, Data and Cloud Computing

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This paper investigates video transmission over a middleware layer based on the Object Management Group's DataDistribution Service (DDS) standard, with a focus on low power platforms. Low power platforms are being widely utilised to implement IoT devices. One important type of IoT application is live video sharing which requires higher bandwidth than current typical applications. However, only limited research has been carried out on quality of services of data distribution utilising low end platforms. This paper discusses the development of prototypes that consist of both a Raspberry Pi 2 and an Android smartphone with client applications using Prismtech's Vortex line of DDS middleware. Experiments have yielded interesting performance results: DDS middleware implementations that run on low power hardware with native code can provide sufficient performance. They are efficient enough to consistently handle high bandwidth live video with the network performance proving to be the bottleneck rather than the processing power of the devices. However, virtual machine implementations on an Android device did not achieve similar performance levels.These research findings will provide recommendations on adopting low power devices for sharing live video distribution in IoT over DDS middleware.

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“…For example, for video traffic DDS has been approved that it is suitable standard to be used in video streaming [19][20][21]. And also for limited resources networks it has been enhanced to meet the limited-band width networks by RTI Company [22].…”

Section: Proposed Middleware Architecturementioning

confidence: 99%

QoS-Aware Middleware for Ubiquitous Environment: A Review and Proposed Solution

Al-Roubaiey

Al-Khiaty

2014

Journal of Computational Engineering

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Ubiquitous computing has introduced a new era of computing. Compared to traditional distributed systems, ubiquitous computing systems feature increased dynamism and heterogeneity. In traditional computing environments (mainframe and PC), users actively choose to interact with computers. Ubiquitous computing applications are likely to be different, where computing systems are available anywhere but not visible. The underlying ubiquitous computing infrastructures are more complex and bring up many issues. In this work we survey the literature to demonstrate, in detail, the characteristics and the challenges of the ubiquitous computing as well as the requirements for building ubiquitous software that brings these characteristics into reality. Furthermore we present some existing middleware solutions for ubiquitous environments, and propose our middleware-based architecture to facilitate the user interaction in such environment. To the best of our knowledge this is the first work proposing DDS-based solution for ubiquitous computing as a unified middleware.

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Streaming H.264 scalable video over data distribution service in a wireless environment

Cited by 25 publications

References 2 publications

H.264 Coarse Grain Scalable (CGS) and Medium Grain Scalable (MGS) Encoded Video: A Trace Based Traffic and Quality Evaluation

H.264 Coarse Grain Scalable (CGS) and Medium Grain Scalable (MGS) Encoded Video: A Trace Based Traffic and Quality Evaluation

Live video transmission over data distribution service with existing low-power platforms

QoS-Aware Middleware for Ubiquitous Environment: A Review and Proposed Solution

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