3D Video transmissions over LTE: A performance evaluation

Piro, Giuseppe; Ceglie, Cristiano; Striccoli, Domenico; Camarda, P.

doi:10.1109/eurocon.2013.6624983

Cited by 13 publications

(2 citation statements)

References 24 publications

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“…Common formats for 3D video are conventional stereo video (CSV), mixed resolution stereo (MRS), and video plus depth (V+D) [38]. For the generation of the dataset, we chose the CVS format with frame-compatibility in side-by-side arrangement [39]. The frame-compatibility approach combines the left and the right views into a standard 2D video format, keeping in this way the compatibility towards 2D video coding tools.…”

Section: Broad Analysis Of Stereoscopic 3d Videos: Generating and mentioning

confidence: 99%

Resilience of Video Streaming Services to Network Impairments

Vega

Perra

Liotta

2018

IEEE Trans. on Broadcast.

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When dealing with networks, performance management through conventional Quality of Service (QoS) based methods becomes difficult and is often ineffective. In fact, quality emerges as an end-to-end factor, for it is particularly sensitive to the end-user perception of the overall service, i.e. the user's Quality of Experience (QoE). However, the two are not independent from each other and their relationship has to be studied through metrics that go beyond the typical network parameters. To better explore the value of assessing QoE alongside QoS in high-speed, lossy networks, this paper presents an experimental methodology to understand the relation between network QoS onto service QoE, with the aim to perform a combined networkservice assessment. Using video streaming services as the testcase (given their extended usage nowadays), in this work, we provide studies on three network-impaired video-sets with the aim to provide a comprehensive evaluation of the effects of networks on video quality. First, the ReTRIeVED video set provides the means to understand the most impairing effects on networks. Furthermore, it triggered the idea to create our own sets, specialized in the most impairing conditions for 2D and 3D: the LIMP Video Quality Database and the 3D-HEVC-Net Video Quality Database. Our study and methodology are meant to provide service providers with the means to pinpoint the working boundaries of their video-sets in face of different network conditions. At the same time, network operators may use our findings to predict how network control policies affect the user's perception of the service.

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Section: Broad Analysis Of Stereoscopic 3d Videos: Generating and mentioning

confidence: 99%

Resilience of Video Streaming Services to Network Impairments

Vega

Perra

Liotta

2018

IEEE Trans. on Broadcast.

View full text Add to dashboard Cite

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“…Furthermore, Liu Y. et al (2012) shows that prior to transmission the multi-view video needs to be transcoded to a lower rate and then downsampled such that the resolution matches the mobile devices. A performance evaluation on 3D video transmission is presented in Piro et al (2013) but this is linked to stereo transmission where only a left and a right view or a texture and a depth view are transmitted over LTE.…”

Section: Iptv Transmission Over Wimax and Lte Networkmentioning

confidence: 99%

Evaluation of Long Term Evolution Cellular Network Performance when Transmitting Multi-view Video Content

Debono

Ellul

2014

International Journal of Wireless Networks and Broadband Technologies

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The Long Term Evolution (LTE) cellular technology provides higher data rates than its predecessor technologies. This advancement paves the way for more data services, including improved multimedia services. Three-dimensional (3D) video transmission is one such service that can benefit from LTE deployment. For a positive uptake of 3D video transmission, the network must provide a good Quality of Service (QoS). In this paper the authors evaluate the LTE network's performance when transmitting Multi-view Video Coding (MVC) using simulcast and inter-view prediction coding. Furthermore, the authors evaluate the system using both the H.264/AVC (Advanced Video Coding) and the more recent High Efficiency Video Coding (HEVC) and their MVC extensions. Results show that, in an urban environment, LTE can accommodate a maximum of 93 users per cell, with adequate QoS, when transmitting 3D HEVC video at Common Intermediate Format (CIF) resolution. Moreover, cross-layer techniques can be used to reduce the QoS degradation as the user moves away from the eNodeB by transmitting lower resolution video.

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