Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 954696

No-Reference Real-Time Video Transmission Artifacts Detection for Video Signals


(Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia) Glavota, Ivan; Kaprocki, Zvonimir; Vranješ, Mario; Herceg, Marijan
No-Reference Real-Time Video Transmission Artifacts Detection for Video Signals // Journal of Real-Time Image Processing, 14 (2020), 4; 799-820 doi:10.1007/s11554-018-0824-6 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 954696 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
No-Reference Real-Time Video Transmission Artifacts Detection for Video Signals

Autori
Glavota, Ivan ; Kaprocki, Zvonimir ; Vranješ, Mario ; Herceg, Marijan

Kolaboracija
Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

Izvornik
Journal of Real-Time Image Processing (1861-8200) 14 (2020), 4; 799-820

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
video transmission artifacts detection ; no-reference ; PLAM ; real time

Sažetak
Video signals are a very important part of multimedia applications. Due to limited network bandwidth, video signals are subjected to the compression process, which introduces different compression artifacts. During network transmission, additional artifacts are introduced in video signals due to random bit errors and packet loss (PL). Both mentioned artifact types degrade visual quality of the video signal and thus, it has to be continuously monitored in order to ensure the required quality of service (QoS) provided to end users. An important component of the video quality monitoring system deals with video transmission artifacts detection. In this paper, a no-reference (NR) pixelbased video transmission artifacts detection algorithm is proposed, called the Packet Loss Area Measure (PLAM) algorithm. When detecting video transmission artifacts, the PLAM algorithm takes into account spatial and temporal information of a video signal. The performance of the proposed PLAM algorithm has been compared to those of the three existing different PL detection algorithms on a broad set of significantly different video signals from two publicly available video databases. One of these databases, called the Referent Packet Loss (RPL) database, has been created within this research and is presented in this paper. The algorithm performance testing results show that PLAM achieves high performance and overcomes other tested algorithms. Furthermore, the results show that the PLAM algorithm is very robust when detecting video transmission artifacts in video signals of different contents, with distinct degradation levels and PL error-concealment methods used in decoder post-processing. Due to its low computational complexity, the PLAM algorithm is capable of processing Full HD and Ultra HD video signals with the frame rate up to 100 and 25 frames per second (fps), respectively, in real time, in the case when high-end CPU is used.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
IZIP-2016-55 J.J. Strossmayer University of Osijek - IZIP-2016-55 J.J. Strossmayer University of Osijek (, )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Marijan Herceg (autor)

Avatar Url Mario Vranješ (autor)

Citiraj ovu publikaciju

(Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia) Glavota, Ivan; Kaprocki, Zvonimir; Vranješ, Mario; Herceg, Marijan
No-Reference Real-Time Video Transmission Artifacts Detection for Video Signals // Journal of Real-Time Image Processing, 14 (2020), 4; 799-820 doi:10.1007/s11554-018-0824-6 (međunarodna recenzija, članak, znanstveni)
(Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia) (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia) Glavota, Ivan, Kaprocki, Z., Vranješ, M. & Herceg, M. (2020) No-Reference Real-Time Video Transmission Artifacts Detection for Video Signals. Journal of Real-Time Image Processing, 14 (4), 799-820 doi:10.1007/s11554-018-0824-6.
@article{article, year = {2020}, pages = {799-820}, DOI = {10.1007/s11554-018-0824-6}, keywords = {video transmission artifacts detection, no-reference, PLAM, real time}, journal = {Journal of Real-Time Image Processing}, doi = {10.1007/s11554-018-0824-6}, volume = {14}, number = {4}, issn = {1861-8200}, title = {No-Reference Real-Time Video Transmission Artifacts Detection for Video Signals}, keyword = {video transmission artifacts detection, no-reference, PLAM, real time} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font