Pregled bibliografske jedinice broj: 947056
Video transmission artifacts detection using no- reference approach
Video transmission artifacts detection using no- reference approach // 2018 Zooming Innovation in Consumer Electronics Conference (ZINC)
Novi Sad, Srbija, 2018. str. 72-77 doi:10.1109/ZINC.2018.8448669 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 947056 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Video transmission artifacts detection using no- reference approach
Autori
Vranješ, Mario ; Herceg, Marijan ; Vranješ, Denis ; Vajak, Denis
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2018 Zooming Innovation in Consumer Electronics Conference (ZINC)
/ - , 2018, 72-77
ISBN
978-1-5386-4927-5
Skup
Zooming Innovation in Consumer Technologies Conference (ZINC 2018)
Mjesto i datum
Novi Sad, Srbija, 30.05.2018. - 31.05.2018
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
video ; transmission artifacts ; packet loss ; no-reference
Sažetak
In real-time (RT) applications that include transmission of digital video, different artifacts (caused by compression and transmission processes) can appear in video received at the end-user side. In order to ensure high level of end-user Quality of Experience (QoE), video application/service providers have to continuously measure and monitor the quality of perceived video. Since in RT video applications uncompressed video is unavailable at the receiver side, artifacts detection as well as video quality assessment (VQA) are often performed using no-reference (NR) approach. In this paper we present a novel NR algorithm that efficiently detects packet loss (PL) artifacts in received video frames, called Packet Loss Detection Algorithm (PLDA). The proposed PLDA operates only on pixel values of the processed video frame and it requires no additional information about processed video. The performance of the proposed PLDA is compared to that of other existing PL detection algorithm on video sequences of significantly different content, in which distinct error concealment methods are used to conceal errors caused by PL. The results show that PLDA outperforms other tested algorithm when detecting PL artifacts in network transmitted video and that it is very robust in terms of different content types and error concealment methods. Additionally, proposed PLDA is capable of processing up to 25 frames per second (FPS) of Full HD video in RT and thus it is suitable for usage in RT video transmitting applications.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek