The Efficiency of HEVC/H.265, AV1, and VVC/H.266 in Terms of Performance Compression and Video Content

Farouk Boumehrez, Abdelhakim Sahour, Hanane Djellab, Fouzia Maamri

Abstract


In recent times, there has been a significant focus on digital compression. The purpose of this study is to undertake a comparative evaluation and examination of the efficacy of the latest standards, namely HEVC, AVI, and its successor VVC. The determination of which standard to utilize relies heavily on factors such as the inherent characteristics of the video, its functionalities, quantization parameters, image quality, as well as the size and video content, this latter, is often classified by spatio-temporal complexity using spatial and temporal information (SI/TI). In reality, they are mostly used for original video sources. The efficiency of encoding original video sources is unknown. The results show that each standard has characteristics that sometimes make it superior to others. In addition, We observe that By understanding how SI and TI affect encoding efficiency, we will be able to better optimize the encoding process and reduce the amount of data that needs to be stored, transmitted, and processed. This could help to reduce the amount of time and energy required to encode video content, as well as reduce the amount of storage space needed to store it. Compared to H.265/HEVC, AV1 is more efficient at compressing HD and FHD video, and more efficient for SD video. In addition, experiments show that VVC/H.266 has higher compression efficiency.

Keywords


Video compression; QP ; video content;HEVC; AV1; VVC

References


F.Boumehrez, et al “Quality of experience enhancement of high efficiency video coding video streaming in wireless packet networks using multiple description coding", Journal of Electronic Imaging, vol 27, no.1, 013028 (27 February 2018). https://doi.org/10.1117/1.JEI.27.1.013028

L. Anegekuh, L. Sun, and E. Ifeachor, “Encoding and video content based HEVC video quality Prediction”, Multimed Tools Appl, vol 74, pp.3715-3738,2015.

B. Bross “High Efficiency Video Coding (HEVC) text specification draft 10” , Joint Collaborative Team on Video Coding (JCT-VC), Geneva (Switzerland), Tech. Rep. JCTVC-L1003,2013.

E. Alkhowaiter, I. Alsukayti, and M. Alreshoodi “Developing a Quality Prediction Model for Wireless Video Streaming Using Machine Learning Techniques” , International Journal of Computer Science and Network Security, vol. 21, no. 3, pp. 229–234, (Mar. 2021).

F. Boumehrez, A.Sahour, N.Doghmane. "Fuzzy logic inference system based quality prediction model for HD HEVC video streaming over wireless networks", 2022 2nd International Conference on New Technologies of Information and Communication (NTIC), 2022.

Y.Wang, et al “The high-level syntax of the versatile video coding (VVC) standard. IEEE Transactions On Circuits And Systems For Video Technology”, vol 31, pp.3779-3800, 2021

P. Paudyal, F. Battisti, and M. Carli “Impact of video content and transmission impairments on quality of experience”, Multimedia tools Appl, vol 75, no.23, pp.16461-16485, 2016.

M.Wien “ High Efficiency Video Coding, Coding Tools and Specification”, ISSN 1860-4862 ISBN 978-3-662-44275-3,2015 . DOI 10.1007/978-3-662-44276

A. Salama, et al “Quality of Service Evaluation and Assessment Methods in Wireless Networks. In proceedings of the IEEE 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)”, pp. 16.Available online: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8275684. 2017.

J.Yang, Z.Yin, & T.Tang “Adaptive Intra Refresh for Screen Content Video Transmission in Dynamic Network. Mobile Networks And Applications”. 2023, https://doi.org/10.1007/s11036-023-02101-1

https://www.ionos.fr/digitalguide/sitesinternet/developpement-web/presentation-du-codec-av1/(11/11/2023).

Milivojevic, Milan, DUJKOVIĆ, Dragi, et GAVROVSKA, Ana “Video coding and Constant quality evaluation using 4k aomenc-AV1 and rav1e-AV1 formats”, Serbian Journal of Electrical Engineering, vol18, no.2, pp. 139-154 , 2021.

Thomas Amestoy “Optimisation du Codec VVC basé sur la Réduction de Complexité et le Traitement Parallèle”, Traitement des images [eess.IV], INSA de Rennes, 2021, Français. NNT: 2021ISAR0009.tel-03566101.

B.Ahuja, R.Doriya, S.Salunke, Md. Farukh Hashmi, A.Gupta "IoT-Based Multi-Dimensional Chaos Mapping System for Secure and Fast Transmission of Visual Data in Smart Cities", IEEE Access, 2023.

Chan, Ka-Hou et IM, Sio-Kei “Rounding of improved DCT transform coding for H.266/VVC”, In : Thirteenth International Conference on Digital Image Processing (ICDIP 2021). pp. 636-642 SPIE, 2021.

T.Laude, Y. Adhisantoso, J.Voges, M.Munderloh, & J. Ostermann “comprehensive video codec comparison”, APSIPA Transactions On Signal And Information Processing. 8 pp. e30. 2019.

W. Robitza, R. Rao Ramachandra Rao, S. Göring and A. Raake "Impact of Spatial and Temporal Information on Video Quality and Compressibility", 2021 13th International Conference on Quality of Multimedia Experience (QoMEX), Montreal, QC, Canada, pp. 65-68, 2021. doi: 10.1109/QoMEX51781.2021.9465452.

FFMPEG decoder,"https://www.ffmpeg.org/download.html", [Online; Accessed 2023-01-26].

M Ferni Ukrit and GR SureshIndonesian “Super-Spatial Structure Prediction Compression of Medical Image Sequences”, Journal of Electrical Engineering and Informatics (IJEEI) Vol 4, no. 2, pp. 126-133, 2016. doi: 10.11591/ijeei.v4i2.224

Reza Rassool" VMAF reproducibility:Validating a perceptual practical video qualitymetric", 2017 IEEE International Symposiumon Broadband Multimedia Systems and Broadcasting (BMSB), 2017.

A.Saha, W. Hamidouche, M. Chavarrías, F. Pescador, Ib. Farhat "Performance analysis of optimized versatile video coding software decoders on embedded platforms", Journal of Real-Time Image Processing, 2023.

ITU-T, “P.910: Subjective video quality assessment methods for multi-media applications,” 2008.

A. van Kasteren, K. Brunnstr¨om, J. Hedlund, and C. Snijders “Quality of experience assessment of 360-degree video,” Electronic Imaging, vol 2020, no. 11, pp. 91, 2020.

N. Barman, N. Khan and M. G. Martini "Analysis of Spatial and Temporal Information Variation for 10-Bit and 8-Bit Video Sequences", 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Limassol, Cyprus, pp. 1-6, 2019. doi: 10.1109/CAMAD.2019.8858486.

D.Grois, D.Marpe, T.Nguyen, & O.Hadar “Comparative assessment of H. 265/MPEG-HEVC, VP9, and H. 264/MPEG-AVC encoders for low-delay video applications”, Applications of Digital Image Processing XXXVII. 9217 pp. 207-216. 2014

D.Hong, M.Horowitz, A. Eleftheriadis, & T. Wiegand “H. 264 hierarchical P coding in the context of ultra-low delay, low complexity applications”, 28th Picture Coding Symposium. pp.146-149, 2010.

Nguyen, Tung ET Marpe, Detlev “Compression efficiency analysis of AV1, VVC, and HEVC for random access applications”, APSIPA Transactions on Signal and Information Processing, vol 10,2021.

F.Zhang, AV. Katsenou, M.Afonso, G.Dimitrov, DR.Bull “Comparing VVC, HEVC and AV1 using Objective and Subjective Assessments”, arXiv, 2020 https://arxiv.org/abs/2003.10282

https://www.cdnetworks.com/media-delivery-blog/compression-standards-explained/ (Accessed 10/09/2023)

J.Yang, Z.Yin, & T. Tang “Adaptive Intra Refresh for Screen Content Video Transmission in Dynamic Network”, Mobile Networks And Applications, 2023, https://doi.org/10.1007/s11036-023-02101-1

A. S. Panayides, M. S. Pattichis, M. Pantziaris, A. G. Constantinides and C. S. Pattichis "The Battle of the Video Codecs in the Healthcare Domain - A Comparative Performance Evaluation Study Leveraging VVC and AV1", in IEEE Access, vol. 8, pp. 11469-11481, 2020, doi: 10.1109/ACCESS.2020.2965325.

M.Uhrina, L.Sevcik, J. Bienik, L.Smatanova “Performance Comparison of VVC, AV1, HEVC, and AVC for High Resolutions” , Electronics, vol.13, 953, 2024. https://doi.org/10.3390/electronics13050953


Full Text: PDF

Refbacks

  • There are currently no refbacks.


 

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN 2089-3272

Creative Commons Licence

This work is licensed under a Creative Commons Attribution 4.0 International License.

web analytics
View IJEEI Stats

503 Service Unavailable

Service Unavailable

The server is temporarily unable to service your request due to maintenance downtime or capacity problems. Please try again later.

Additionally, a 503 Service Unavailable error was encountered while trying to use an ErrorDocument to handle the request.