PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Subjective quality evaluation of 8- and 10-bit MP4-coded video sequences from Netflix

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Recently, many researchers have been intensively conducting quality of service (QoS), quality of experience (QoE), and user experience (UX) studies in the field of video analysis. This paper is intended to make a new, complementary contribution to this field. Currently, streaming platforms are key products in relation to delivering video content online. Most often, they include the MP4 video format, which is most widely utilized among audio-visual codecs. This study involves a group of 38 individuals, aged between 21–35 years old, in a laboratory consisting of 20 iMacs with 4K retina display. The presented signal sequences included content sourced from the Netflix Chimera repository, with 8- and 10-bit depth, available in different resolutions of 270p, 432p, 720p, and 1080p. Tests included a subjective quality evaluation in a 5-step mean opinion score (MOS) scale, focused on the UX aspect. According to the obtained results, content with the lowest and highest resolutions is optimal in 8-bit depth, while movies with intermediate resolutions are better in 10-bit depth. For 8-bit content, the main problem is pixelation, whereas, in the case of 10-bit samples, the main issue is color noise, particularly in the case of the lowest resolution. Many viewers indicated that 10-bit encoding offered lower quality. Moreover, 8-bit movies caused a lower quality of the gradient, presumably due to the smaller range of the available color. However, 8-bit movies in the same situation generate visible stripes on static images in the background, causing a lower quality of the gradient, which is probably due to the smaller range of available colors. The results of the performed experiments may be of particular interest to content creators and distributors, particularly network and cable operators, as well as wireless and wired providers. coding, compression, QoE (Quality of Experience), UX (User Experience), video content, Netflix.
Rocznik
Strony
30--38
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
  • Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Poland
autor
  • Flensburg University of Applied Sciences, Germany
  • Nitte Meenakshi Institute of Technology, Bengaluru, India
Bibliografia
  • 1. Badr, N., Sharaf, S. & Mahrous, A.A. (2024) Streaming wars: an analysis of the growth and competitive landscape of the subscription video-on-demand services market. EuroMed Journal of Management 6 (1), pp. 23–41, doi: 10.1504/EMJM.2024.135992.
  • 2. Barman, N., Khan, N. & Martini, M.G. (2019) Analysis of spatial and temporal information variation for 10-bit and 8-bit video sequences. IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Limassol, Cyprus, pp. 1–6, doi: 10.1109/CAMAD.2019.8858486.
  • 3. Becerra, H., Ragano, A., Debnath, D., Ullah, A., Lucas, C.R., Walsh, M. & Hines, A. (2024) Dialogue understandability: Why are we streaming movies with subtitles? doi: 10.48550/arXiv.2403.15336.
  • 4. Biernacki, A. (2024). Throughput prediction of 5G network based on trace similarity for adaptive video. Applied Sciences 14 (5), 1962, doi: 10.3390/app14051962.
  • 5. Falkowski-Gilski, P. (2023) Audio content and crowdsourcing: A subjective quality evaluation of radio programs streamed online. 19th EAI International Conference (MobiQuitous).
  • 6. Falkowski-Gilski, P. & Uhl, T. (2020) Current trends in consumption of multimedia content using online streaming platforms: a user-centric survey. Computer Science Review 37 (4), 100268, doi: 10.1016/j.cosrev.2020.100268.
  • 7. Falkowski-Gilski, P. & Uhl, T. (2023) Comparing apples and oranges: A mobile user experience study of iOS and Android consumer devices. 19th EAI International Conference (MobiQuitous).
  • 8. Falkowski-Gilski, P., Uhl, T. & Hoppe, C. (2024) User experience evaluation study on the quality of 1K, 2K, and 4K H.265/HEVC video content. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie 77 (149), pp. 38–46, doi: 10.17402/595.
  • 9. ITU-T (2019) Rec. BT.500-14: Methodologies for the subjective assessment of the quality of television images.
  • 10. Mirusmonov, M., Zhang, G., Ali, J., Lee, S.H., Kim, D.W. & Kim, J. (2023) Effects of users’ motivation on their usage of mobile cloud computing. International Journal of Human‒Computer Interaction, pp. 1–18, doi: 10.1080/104473 18.2023.2247612.
  • 11. Netflix (2024) http://download.opencontent.netflix.com/?prefix=AV1/Chimera/Old/ [Accessed: May 07, 2024].
  • 12. Nowicki, K. & Uhl, T. (2017) QoS/QoE in the heterogeneous Internet of things (IoT). In: Batalla, J., Mastorakis, G., Mavromoustakis, C., Pallis, E. (eds) Beyond the Internet of Things. Springer, Cham, pp. 165–196, doi: 10.1007/978-3-319-50758-3_7.
  • 13. Ruiz, D., Sladojevic, S., Culibrk, D. & Fernández-Escribano, G. (2013) Comparison of compression performance of 10-bit vs. 8-bit depth, under H.264 Hi422 profile. 11th International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS), pp. 119–122, doi: 10.1109/TELSKS.2013.6704904.
  • 14. Tariq, J., Javed, M., Rahman, H., Armghan, A. & Ijaz, A. (2024) AI application in video: Spiral optimizer based fast intra mode selection in HEVC. Multimedia Tools and Applications 83, pp. 66463–66478, doi: 10.1007/s11042-024-18268-y.
  • 15. Topiwala, P., Krishnan, M. & Dai, W. (2018) Performance comparison of VVC, AV1, and HEVC on 8-bit and 10-bit content. Applications of Digital Image Processing XLI, vol. 10752, pp. 305–314. SPIE.
  • 16. Ying Jie, H., Kee, N.S. & Omar, B. (2023) Factors influencing the willingness to pay on tencent video platform: A study among online users in China. Remittances Review 8 (4), pp. 3302‒3313, doi: 10.33182/rr.v8i4.227.
  • 17. Zeng, Q., Zhuang, Y., Hai, J., Pan, Q., Yin, Z., Chen, Q. & Liang, J. (2023) Challenges of livecast computing network: A contemporary survey. 2023 International Conference on Networking and Network Applications (NaNA), pp. 690–697, doi: 10.1109/NaNA60121.2023.00119.
  • 18. Zmysłowski, D., Kelner, J. M. & Falkowski-Gilski, P. (2023) Mobile networks’ analysis in terms of QoS performance assessment. 19th EAI International Conference (MobiQuitous).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7f029c52-0d8f-404f-a211-c8f119c147a6
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.