Pick Your Layers Wisely - A Quality Assessment of H.264 Scalable Video Coding for Mobile Devices

Eichhorn, Alexander; Ni, Pengpeng

doi:10.1109/icc.2009.5305948

Cited by 24 publications

(26 citation statements)

References 14 publications

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“…Eichhorn and Ni performed a human study to evaluate the quality of H.264 scalable video codec (SVC) encoded video streams at QVGA and QQVGA resolutions on a 2.5-inch screen [17]. Each of the six 8-second clips were encoded at two spatial resolutions using 3 temporal layers and 4 quality layers.…”

Section: Introductionmentioning

confidence: 99%

Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies

Moorthy

Choi

Bovik

et al. 2012

IEEE J. Sel. Top. Signal Process.

268

168

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Abstract-We introduce a new video quality database that models video distortions in heavily-trafficked wireless networks and that contains measurements of human subjective impressions of the quality of videos. The new LIVE Mobile Video Quality Assessment (VQA) database consists of 200 distorted videos created from 10 RAW HD reference videos, obtained using a RED ONE digital cinematographic camera. While the LIVE Mobile VQA database includes distortions that have been previously studied such as compression and wireless packet-loss, it also incorporates dynamically varying distortions that change as a function of time, such as frame-freezes and temporally varying compression rates. In this article, we describe the construction of the database and detail the human study that was performed on mobile phones and tablets in order to gauge the human perception of quality on mobile devices. The subjective study portion of the database includes both the differential mean opinion scores (DMOS) computed from the ratings that the subjects provided at the end of each video clip, as well as the continuous temporal scores that the subjects recorded as they viewed the video. The study involved over 50 subjects and resulted in 5,300 summary subjective scores and time-sampled subjective traces of quality. In the behavioral portion of the article we analyze human opinion using statistical techniques, and also study a variety of models of temporal pooling that may reflect strategies that the subjects used to make the final decision on video quality. Further, we compare the quality ratings obtained from the tablet and the mobile phone studies in order to study the impact of these different display modes on quality. We also evaluate several objective image and video quality assessment (IQA/VQA) algorithms with regards to their efficacy in predicting visual quality. A detailed correlation analysis and statistical hypothesis testing is carried out. Our general conclusion is that existing VQA algorithms are not well-equipped to handle distortions that vary over time. The LIVE Mobile VQA database, along with the subject DMOS and the continuous temporal scores is being made available to researchers in the field of VQA at no cost in order to further research in the area of video quality assessment. Index Terms-Mobile video quality, objective algorithm evaluations, subjective quality, video quality assessment, video quality database.

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Section: Introductionmentioning

confidence: 99%

Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies

Moorthy

Choi

Bovik

et al. 2012

IEEE J. Sel. Top. Signal Process.

268

168

View full text Add to dashboard Cite

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“…Studies considering the three-dimensional scalability in subjective quality assessment has been presented only recently [9][10][11][12]. In all the studies presented below, sequences having lower frame sizes were always up-scaled to the largest original sizes by assuming fixed viewing windows.…”

Section: Spatial Temporal and Snr Scalabilitymentioning

confidence: 99%

“…Subjective evaluation of video sequences produced by SVC for mobile environments was performed in [10]. The bit rate conditions were chosen to be representative of wireless networks such as HSDPA and DVB-H.…”

Section: Spatial Temporal and Snr Scalabilitymentioning

confidence: 99%

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Subjective quality assessment of scalable video coding: A survey

Lee

Simone

Ebrahimi

2011

2011 Third International Workshop on Quality of Multimedia Experience

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Scalable video coding is a promising solution for efficient video content distribution to users having heterogeneous network and terminal capabilities. Thanks to its inherent multidimensional adaptability, a scalable bit stream can be used to simultaneously transmit multiple video sequences having different bit rates to corresponding target users, without necessity of re-encoding or transcoding. In order to exploit such an advantage effectively, it is crucial to understand the effects of multidimensional scalability options on the perceived quality and the trade-off between the scalability dimensions through subjective quality assessment. This paper reviews existing studies aiming at achieving this goal in order to summarize their results and common findings.Index Terms-Scalable video coding, subjective quality assessment, quality of experience

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“…In [8,9,10,11], three-dimensional scalability is investigated. However, in all known research in which spatial resolution is studied, the lower spatial resolution frames are always up-sampled to the larger original sizes and shown in a viewing window with fixed size.…”

Section: Existing Video Quality Assessmentsmentioning

confidence: 99%

Minimisation of video downstream bit rate for large scale immersive video conferencing by utilising the perceptual variations of quality

Pourashraf

Safaei

Franklin

2014

2014 IEEE International Conference on Multimedia and Expo (ICME)

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This paper aims at minimising the video downstream bit rate of immersive video conferencing (IVC) applications by judiciously modifying the video quality based on the relative virtual positions of participants in the virtual environment. The paper reports on the results of a user study to assess the influence of participants' perspectives on the perceptual impact of relevant video parameters, such as resolution and frame rate. A mathematical model for video rate is proposed that expresses the total rate as the product of spatial resolution and frame rate. Results from the user study are combined with the proposed model to predict the rate parameters which will result in perceptually acceptable quality for a given user perspective. The simulation results show that by exploiting the proposed method, the downstream network load for the client can be significantly reduced with little or no impact on the perceived quality. ABSTRACTThis paper aims at minimising the video downstream bit rate of immersive video conferencing (IVC) applications by judiciously modifying the video quality based on the relative virtual positions of participants in the virtual environment. The paper reports on the results of a user study to assess the influence of participants' perspectives on the perceptual impact of relevant video parameters, such as resolution and frame rate. A mathematical model for video rate is proposed that expresses the total rate as the product of spatial resolution and frame rate. Results from the user study are combined with the proposed model to predict the rate parameters which will result in perceptually acceptable quality for a given user perspective. The simulation results show that by exploiting the proposed method, the downstream network load for the client can be significantly reduced with little or no impact on the perceived quality.Index Terms-Video quality differentiation, video quality assessments, video conferencing, 3D immersive environments, rate model, perceptual model

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Pick Your Layers Wisely - A Quality Assessment of H.264 Scalable Video Coding for Mobile Devices

Cited by 24 publications

References 14 publications

Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies

Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies

Subjective quality assessment of scalable video coding: A survey

Minimisation of video downstream bit rate for large scale immersive video conferencing by utilising the perceptual variations of quality

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