A Comparative Performance Assessment of Different Video Codecs

Valiandi, Ioanna; Panayides, Andreas S.; Kyriacou, Efthyvoulos; Pattichis, Constantinos S.; Pattichis, Marios S.

doi:10.1007/978-3-031-44240-7_26

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…In [17,18], for quality evaluation, the Multi-Scale Structural Similarity Index (MS-SSIM) method was used. Paper [19] presents a comparative performance assessment of five video codecs-HEVC, VVC, AV1, EVC, and VP9. The experimental evaluation was performed on three video datasets with three different resolutions-768 × 432, 560 × 488, and 3840 × 2160 (UHD).…”

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

View full text Add to dashboard Cite

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“…The authors of [16] offer a comparative evaluation of the compression efficiency of H.264, HEVC, VVC, AV1, and VP9, but only for video sequences at 480p resolution. In [17], a comparative performance assessment of five video codecs-HEVC, VVC, AV1, EVC, and VP9-is presented. The experimental evaluation was carried out on three video datasets with three different resolutions: 768 × 432, 560 × 488, and 3840 × 2160 (UHD).…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of VVC, AV1, HEVC, and AVC for High Resolutions

Uhrina,

Sevcik,

Bienik

et al. 2024

Electronics

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Over the years, there has been growing interest in multimedia services, especially in the video domain, where firms and subscribers require higher resolutions, framerates, and sampling precision. This results in a huge amount of data that needs to be processed, stored, and transmitted. As a result, researchers face the challenge of developing new compression standards that can reduce the amount of data while maintaining the same quality. In this paper, the compression performance of the latest and most commonly used video codecs, namely H.266/VVC, AV1, H265/HEVC, and H.264/AVC was examined. The test set included seven sequences of various content at 8K, Ultra HD (UHD), and Full HD (FHD) resolutions, encoded to bitrates ranging from 1 to 15 Mbps for FHD and UHD resolutions and from 5 to 50 Mbps for 8K resolution. Objective quality metrics, such as peak signal-to-noise ratio (PSNR), the structural similarity index (SSIM), and video multi-method assessment fusion (VMAF) were used to measure codec performance. The results showed that H.266/VVC outperformed all other codecs, namely H.264/AVC, H.265/HEVC, and AV1, in terms of the Bjøntegaard delta (BD) model. The average bitrate savings were approximately 78% for H.266/VVC, 63% for AV1, and 53% for H.265/HEVC relative to H.264/AVC, 59% for H.266/VVC and 22% for AV1 compared to H.264/AVC, and 46% for H.266/VVC relative to AV1 (all for 8K resolution). The results also showed that codec performance varied depending on resolution, with higher resolutions showing greater efficiency for newly developed codecs, such as H.266/VVC and AV1. This confirms the fact that the H.266/VVC and AV1 codecs were primarily developed for videos at high resolutions, such as 8K and/or UHD.

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Explore Cross-Codec Quality-Rate Convex Hulls Relation for Adaptive Streaming

Nia

2024

Preprint

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With the ongoing advancement of video technology and the emergence of new video platforms, suppliers of video contents are striving to ensure that the video quality meets the desire of consumers. Accessing a limited amount of channel bandwidth, they are often looking for a novel approach to decrease the use of data and thus the required energy and cost. This study evaluates the Quality Rate performance of H.264, H.265, and VP9 codecs across resolutions (960×544, 1920×1080, 3840×2160) to optimize video quality while minimizing bitrate, crucial for energy and cost efficiency. At this approach, original videos at native resolutions were encoded, decoded, and rescaled using FFmpeg. For each resolution, encoding and decoding were performed at various quantization levels. Quality Rate (QR) curves were generated using PSNR and VMAF metric against bitrate. Convex Hull curves were then derived and mathematically modelled for each resolution. The procedure was systematically applied to H.264, H.265, and VP9 codecs. Results indicate that increasing CRF values reduce bitrate, PSNR, and VMAF, with PSNR ranging between 20–40 dB. Logarithmic polynomial modelling of convex hulls demonstrated high accuracy, with low RMSE and high R-Squared values. These findings suggest that the convex hull of one codec can predict the performance of others, aiding future content-driven prediction methodologies and enhancing adaptive streaming efficiency.

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A Comparative Performance Assessment of Different Video Codecs

Cited by 3 publications

References 8 publications

UHD Database Focus on Smart Cities and Smart Transport

UHD Database Focus on Smart Cities and Smart Transport

Performance Comparison of VVC, AV1, HEVC, and AVC for High Resolutions

Explore Cross-Codec Quality-Rate Convex Hulls Relation for Adaptive Streaming

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