Benchmarking Video Service Quality: Quantifying the Viewer Impact of Loss-Related Impairments

Karthikeyan, Vidhyalakshmi; Allan, Brahim; Nauck, Detlef; Rio, Miguel

doi:10.1109/tnsm.2020.2998905

Cited by 4 publications

(2 citation statements)

References 23 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The publication focuses on describing the process of subjective tests. In [24], the authors presented an empirical study of the impact of packetloss-related errors on television viewing. They compared different delivery platforms and technologies.…”

Section: Related Workmentioning

confidence: 99%

UHD Database Focus on Smart Cities and Smart Transport

Sevcik,

Uhrina,

Frnda

2024

Electronics

View full text Add to dashboard Cite

“Smart city” refers to a modern solution to organizing a city’s services, using cloud technologies to collect and evaluate large amounts of data, including data from camera systems. Smart city management covers several areas that can be implemented separately, but only their combination can realize the overall desired smart city function. One of the core areas of smart city automation is smart city transport. Transportation is a crucial system in any city, and this is why it needs to be monitored. The primary objective of this publication is to generate top-notch 4K UHD video sequences that are solely dedicated to showcasing smart cities and their transportation systems. The resulting comprehensive database will be made accessible to all professionals in the field, who can utilize it for extensive research purposes. Additionally, all the reference video sequences will be transcoded into various quality settings by altering critical parameters like the resolution, compression standard, and bit rate. The ultimate aim is to determine the best combination of video parameters and their respective settings based on the measured values. This in-depth evaluation will ensure that each video sequence is of the highest quality and provides an unparalleled experience for the service providers offering the service. The video sequences captured will be analyzed for quality assessments in smart cities or smart transport technologies. The database will also include objective and subjective ratings, along with information about the dynamics determined by spatial and temporal information. This will enable a comparison of the subjective evaluation of a selected sample of our respondents with the work of other researchers, who may evaluate it with a different sample of evaluators. The assumption of our future research is to predict the subjective quality based on the type of sequence determined by its dynamicity.

show abstract

Section: Related Workmentioning

confidence: 99%

UHD Database Focus on Smart Cities and Smart Transport

Sevcik,

Uhrina,

Frnda

2024

Electronics

View full text Add to dashboard Cite

show abstract

“…In [ 11 ], the effectiveness of 16 existing image and video quality measures (PSNR, SSIM, VQM, etc.) in assessing error-concealed video quality was examined.…”

Section: Related Workmentioning

confidence: 99%

Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses

Dumic

Cruz

2023

Sensors

View full text Add to dashboard Cite

This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds. The study involved compressing a set of test dynamic point clouds using the MPEG V-PCC (Video-based Point Cloud Compression) codec at 5 different levels of compression and applying simulated packet losses with three packet loss rates (0.5%, 1% and 2%) to the V-PCC sub-bitstreams prior to decoding and reconstructing the dynamic point clouds. The recovered dynamic point clouds qualities were then assessed by human observers in experiments conducted at two research laboratories in Croatia and Portugal, to collect MOS (Mean Opinion Score) values. These scores were subject to a set of statistical analyses to measure the degree of correlation of the data from the two laboratories, as well as the degree of correlation between the MOS values and a selection of objective quality measures, while taking into account compression level and packet loss rates. The subjective quality measures considered, all of the full-reference type, included point cloud specific measures, as well as others adapted from image and video quality measures. In the case of image-based quality measures, FSIM (Feature Similarity index), MSE (Mean Squared Error), and SSIM (Structural Similarity index) yielded the highest correlation with subjective scores in both laboratories, while PCQM (Point Cloud Quality Metric) showed the highest correlation among all point cloud-specific objective measures. The study showed that even 0.5% packet loss rates reduce the decoded point clouds subjective quality by more than 1 to 1.5 MOS scale units, pointing out the need to adequately protect the bitstreams against losses. The results also showed that the degradations in V-PCC occupancy and geometry sub-bitstreams have significantly higher (negative) impact on decoded point cloud subjective quality than degradations of the attribute sub-bitstream.

show abstract

LossDetection: Real-Time Packet Loss Monitoring System for Sampled Traffic Data

et al. 2023

IEEE Trans. Netw. Serv. Manage.

View full text Add to dashboard Cite

Benchmarking Video Service Quality: Quantifying the Viewer Impact of Loss-Related Impairments

Cited by 4 publications

References 23 publications

UHD Database Focus on Smart Cities and Smart Transport

UHD Database Focus on Smart Cities and Smart Transport

Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses

LossDetection: Real-Time Packet Loss Monitoring System for Sampled Traffic Data

Contact Info

Product

Resources

About