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Pregled bibliografske jedinice broj: 980544

Real-Time No-Reference Histogram-Based Freezing Artifact Detection Algorithm for UHD Videos


(RT-RK Institute for Computer Based Systems, Novi Sad, Srbija) Babić, Danijel; Stefanović, Dejan; Vranješ, Mario; Herceg, Marijan
Real-Time No-Reference Histogram-Based Freezing Artifact Detection Algorithm for UHD Videos // Multimedia tools and applications, 78 (2019), 13; 17949-17971 doi:10.1007/s11042-019-7184-5 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 980544 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Real-Time No-Reference Histogram-Based Freezing Artifact Detection Algorithm for UHD Videos

Autori
Babić, Danijel ; Stefanović, Dejan ; Vranješ, Mario ; Herceg, Marijan

Kolaboracija
RT-RK Institute for Computer Based Systems, Novi Sad, Srbija

Izvornik
Multimedia tools and applications (1380-7501) 78 (2019), 13; 17949-17971

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

Ključne riječi
Artifact ; Freezing ; Histogram ; No-reference ; real-time ; UHD

Sažetak
During video transmission different errors can occur, which can introduce distinct artifacts in video received at the end user side. One of the most common artifacts that appears in such cases is frame freezing and it can significantly reduce the quality of received video, i.e. decrease the level of end user Quality of Experience (QoE). Thus it is necessary to properly detect the occurrence of frame freezing, in order to assure the satisfactory level of end user QoE. In this paper a novel no-reference (NR) objective algorithm for detection of various types of freezing artifacts in video, called Histogram- Based Freezing artifacts Detection Algorithm (HBFDA), is proposed. HBFDA uses method for comparison of consecutive video frames, which consists of splitting frame into regions and comparing regions’ histograms of consecutive frames. In order to operate on different types of video contents (including those containing a low level of movement), while achieving high level of accuracy and reliability, HBFDA dynamically adapts its parameters in real-time. HBFDA performance are compared to this of two freely pulbicly available algorithms for frame freezing detection on videos from three different databases: VQEG HDTV, LIVE Mobile and newly created UHD Video Freezing Database (UHD VFD), which we made publicly available to the research community and it can be downloaded at http://www.rt- rk.com/other/UHDVideoDBReadme.html. Experimental results show that HBFDA has lowest number of false freezing detections when compared to other tested algorithms and that it achieves the highest average total accuracy of 99.26% when all databases are taken into account. Additionally, for UHD videos, HBFDA is able to process 75 frames per second, which makes it suitable for real-time video applications.

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

(RT-RK Institute for Computer Based Systems, Novi Sad, Srbija) Babić, Danijel; Stefanović, Dejan; Vranješ, Mario; Herceg, Marijan
Real-Time No-Reference Histogram-Based Freezing Artifact Detection Algorithm for UHD Videos // Multimedia tools and applications, 78 (2019), 13; 17949-17971 doi:10.1007/s11042-019-7184-5 (međunarodna recenzija, članak, znanstveni)
(RT-RK Institute for Computer Based Systems, Novi Sad, Srbija) (RT-RK Institute for Computer Based Systems, Novi Sad, Srbija) Babić, Danijel, Stefanović, D., Vranješ, M. & Herceg, M. (2019) Real-Time No-Reference Histogram-Based Freezing Artifact Detection Algorithm for UHD Videos. Multimedia tools and applications, 78 (13), 17949-17971 doi:10.1007/s11042-019-7184-5.
@article{article, year = {2019}, pages = {17949-17971}, DOI = {10.1007/s11042-019-7184-5}, keywords = {Artifact, Freezing, Histogram, No-reference, real-time, UHD}, journal = {Multimedia tools and applications}, doi = {10.1007/s11042-019-7184-5}, volume = {78}, number = {13}, issn = {1380-7501}, title = {Real-Time No-Reference Histogram-Based Freezing Artifact Detection Algorithm for UHD Videos}, keyword = {Artifact, Freezing, Histogram, No-reference, real-time, UHD} }

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


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