Analysis of Video Quality Losses in Homogeneous HEVC Video Transcoding

Grajek, Tomasz; Stankowski, Jakub; Karwowski, Damian; Klimaszewski, Krzysztof; Stankiewicz, Olgierd; Wegner, Krzysztof

doi:10.1109/access.2019.2928423

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…Currently, one of the most popular network services is live video streaming, which is growing at a rapid scale [9,10]. In [11], a detailed quantitative analysis of video quality degradation in a homogeneous HEVC video transcoder was presented, along with an analysis of the origin of these degradations and the impact of the quantization step on the transcoding. The differences between video transcoding and direct compression were also described.…”

Section: Related Workmentioning

confidence: 99%

UHD Database Focus on Smart Cities and Smart Transport

Sevcik,

Uhrina,

Frnda

2024

Electronics

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“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.

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Section: Related Workmentioning

confidence: 99%

UHD Database Focus on Smart Cities and Smart Transport

Sevcik,

Uhrina,

Frnda

2024

Electronics

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Securing high-resolution train videos encoded with HEVC and inter prediction mode

Galiano

Barrio

Botella

et al. 2020

Computers in Industry

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Impact of Packet Loss Rate on Quality of Compressed High Resolution Videos

Bienik

Uhrina

Sevcik

et al. 2023

Sensors

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Video delivered over IP networks in real-time applications, which utilize RTP protocol over unreliable UDP such as videotelephony or live-streaming, is often prone to degradation caused by multiple sources. The most significant is the combined effect of video compression and its transmission over the communication channel. This paper analyzes the adverse impact of packet loss on video quality encoded with various combinations of compression parameters and resolutions. For the purposes of the research, a dataset containing 11,200 full HD and ultra HD video sequences encoded to H.264 and H.265 formats at five bit rates was compiled with a simulated packet loss rate (PLR) ranging from 0 to 1%. Objective assessment was conducted by using peak signal to noise ratio (PSNR) and Structural Similarity Index (SSIM) metrics, whereas the well-known absolute category rating (ACR) was used for subjective evaluation. Analysis of the results confirmed the presumption that video quality decreases along with the rise of packet loss rate, regardless of compression parameters. The experiments further led to a finding that the quality of sequences affected by PLR declines with increasing bit rate. Additionally, the paper includes recommendations of compression parameters for use under various network conditions.

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Analysis of Video Quality Losses in Homogeneous HEVC Video Transcoding

Cited by 3 publications

References 22 publications

UHD Database Focus on Smart Cities and Smart Transport

UHD Database Focus on Smart Cities and Smart Transport

Securing high-resolution train videos encoded with HEVC and inter prediction mode

Impact of Packet Loss Rate on Quality of Compressed High Resolution Videos

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