Quantitization parameter-based video quality assessment in MPEG codecs leveraging VMAF

• Autorzy: Uddin Syed , Leszczuk Mikołaj , Grega Michał

Identyfikatory

DOI

10.15199/59.2023.4.10

• Konferencja: Konferencja Radiokomunikacji i Teleinformatyki (20-22.09.2023 ; Kraków, Polska)
• Języki publikacji: EN

Abstrakty

EN

Video streaming systems are rapidly evolving. There is an increasing demand for high-resolution content such as full hd (FHD) and 4K (UHD). This high-resolution content requires high processing power and storage. Video coding technology is used to compress video content. There are encoding parameters that effect compression efficiency and video quality. It is important to explore those coding parameters which have an impact on video compression and quality. This paper considers MPEG-4, MPEG-AVC, and MPEG-HEVC codecs for testing. The video sequence is encoded using different rate control modes and bitrates. The quality of encoded videos is estimated using the video multimethod assessment fusion (VMAF) objective model. The results show that MPEG-AVC performs significantly better than other codecs. The results also confirm the strong relationship between encoding parameters and video quality. This study provides a foundation for building optimization models in the video quality domain. The study results will be utilized to build robust optimization models for video quality evaluations.

Słowa kluczowe

EN

MPEG; video codec; VMAF; video streaming

PL

MPEG; kodowanie wideo; VMAF; strumieniowe wideo

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne
• Rocznik: 2023
• Tom: nr 4
• Strony: 65--68
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Uddin Syed

• AGH University of Krakow, Kraków

autor

Leszczuk Mikołaj

• AGH University of Krakow, Kraków

autor

Grega Michał

• AGH University of Krakow, Kraków

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).