How to Build an Objective Model for Packet Loss Effect on High Definition Content Based on SSIM and Subjective Experiments

Romaniak, Piotr; Janowski, Lucjan

doi:10.1007/978-3-642-13789-1_5

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Solutions developed so far have been limited mainly to optimizing the network QoS parameters, which are an important factor for QoE of low quality video streaming services (e.g. mobile streaming, Internet streaming) [22]. Usually, classical quality models, like the PSNR [10] or SSIM [26], were applied.…”

Section: Introductionmentioning

confidence: 99%

Quality assessment for a visual and automatic license plate recognition

Janowski

Kozłowski

Baran

et al. 2012

Multimed Tools Appl

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Video transmission and analysis is often utilized in applications outside of the entertainment sector, and generally speaking this class of video is used to perform specific tasks. Examples of these applications include security and public safety. The Quality of Experience (QoE) concept for video content used for entertainment differs significantly from the QoE of surveillance video used for recognition tasks. This is because, in the latter case, the subjective satisfaction of the user depends on achieving a given functionality. Recognizing the growing importance of video in delivering a range of public safety services, we focused on developing critical quality thresholds in license plate recognition tasks based on videos streamed in constrained networking conditions. Since the number of surveillance cameras is still growing it is obvious that automatic systems will be used to do the tasks. Therefore, the presented research includes also analysis of automatic recognition algorithms.

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Section: Introductionmentioning

confidence: 99%

Quality assessment for a visual and automatic license plate recognition

Janowski

Kozłowski

Baran

et al. 2012

Multimed Tools Appl

Self Cite

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“…Th e simulation of video streaming was carried out in three phases by using simmilar methodology presented in [11]. Th e fi rst phase represents a video streaming in an 'ideal environment', where the package loss and delay emulated by WAN emulator are equal to zero.…”

Section: Simulation Environment and Testing Methodologymentioning

confidence: 99%

“…Th e authors in [11] proposed a methodology for the effi cient design of the objective model that describes the eff ect of packet loss when a transfer of high-resolution video occurs. Th e principles on which the proposed methodology is based are usually used in research related to the study of the video quality of experience.…”

Section: The Influence Of Resolution and Frame Rate On Linear In-strementioning

confidence: 99%

Influence of Resolution and Frame Rate on the Linear In-Stream Video Ad QoE

Ljubojevic

Vasković

Babić

et al. 2014

JITA

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An increasing number of services and facilities that are of interest to users is based on video streaming. Technical characteristics of video have a strong impact on the quality of a video streaming service and its perception by users. The most important measure of quality, which focuses on the user, is the Quality of Experience (QoE). Given that video advertising is a typical video streaming application, it is necessary to analyze the effect of the change of video characteristics on the QoE. This paper examines the impact of resolution and frame rate change on the QoE level by using objective and subjective QoE metrics. It also looks at the possibility of mapping the ob jective QoE metrics into subjective ones, if the QoE in Internet video advertising is analyzed. It was demonstrated that the values obtained by the objective assessment of quality can be mapped to the results obtained by subjective assessment of quality when the quality of experience of linear in-stream video ads is analyzed. The results indicate that temporal aspects of video quality assessment, e.g. infl uence of resolution and frame rate change to the level of the QoE, can be achieved by implementation of objective methods. Therefore, quality of experience can be improved by the proper selection of video characteristics values.

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“…Fig. 1c shows, however, that to improve the frame-drop tolerance at 𝑄 9 , we can target an SSIM score of 0.95, which still offers good quality [57] with perceptible but not detrimental impairment. This idea of tolerating frame losses was explored in [17] and more recently in BETA.…”

Section: Insightsmentioning

confidence: 99%

“…Romaniak et al [57] show that perceptual-quality-impairing artifacts caused by packet loss, or frame-drops, induce structural changes that can be captured by SSIMs. Figs.…”

Section: Insightsmentioning

confidence: 99%

Voxel

Palmer

Appel

Spiteri

et al. 2021

Proceedings of the 17th International Conference on Emerging Networking EXperiments and Technologies

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How to Build an Objective Model for Packet Loss Effect on High Definition Content Based on SSIM and Subjective Experiments

Cited by 5 publications

References 18 publications

Quality assessment for a visual and automatic license plate recognition

Quality assessment for a visual and automatic license plate recognition

Influence of Resolution and Frame Rate on the Linear In-Stream Video Ad QoE

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