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Pregled bibliografske jedinice broj: 997673

Real‑time video freezing detection for 4K UHD videos


Grbić, Ratko; Stefanović, Dejan; Vranješ, Mario; Herceg, Marijan
Real‑time video freezing detection for 4K UHD videos // Journal of Real-Time Image Processing, 1 (2019), 1; 1-15 doi:10.1007/s11554-019-00873-y (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 997673 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Real‑time video freezing detection for 4K UHD videos

Autori
Grbić, Ratko ; Stefanović, Dejan ; Vranješ, Mario ; Herceg, Marijan

Izvornik
Journal of Real-Time Image Processing (1861-8200) 1 (2019), 1; 1-15

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

Ključne riječi
No-reference ; 4K UHD ; Video freezing detection ; Real-time ; FPGA

Sažetak
Video frame freezing is a common artifact which can occur during video content delivery due to errors in the video coding process, video transmission, storage or reproduction. This artifact can significantly decrease the end-user Quality of Experience. Therefore, accurate video frame freezing detection is of great importance for different parties involved in video content delivery. In this paper, a new Real-Time no-reference Freezing Detection Algorithm, called the RTFDA, is proposed. As newly video frames are acquired, the RTFDA performs comparison of the current video frame with the corresponding previous one to detect whether video freezing is occurring. The comparison is made by calculating the corresponding subsampled video frames and their pixel-by-pixel absolute difference comparison. The benefit of such approach is twofold: the influence of noise in freezing frames on frame comparison is significantly reduced as well as computational complexity of frame comparison. The RTFDA has a high detection rate with a very low rate of both false-positive and false-negative detections, outperforming four freezing detection algorithms on four different video databases. The proposed implementation on an x86-64 platform achieves real-time performance on 4K Ultra High Definition (UHD) videos by processing 216 frames per second (fps). Apart from that, FPGA implementation is proposed, which has efficient FPGA resource utilization.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Ratko Grbić (autor)

Avatar Url Marijan Herceg (autor)

Avatar Url Mario Vranješ (autor)

Citiraj ovu publikaciju

Grbić, Ratko; Stefanović, Dejan; Vranješ, Mario; Herceg, Marijan
Real‑time video freezing detection for 4K UHD videos // Journal of Real-Time Image Processing, 1 (2019), 1; 1-15 doi:10.1007/s11554-019-00873-y (međunarodna recenzija, članak, znanstveni)
Grbić, R., Stefanović, D., Vranješ, M. & Herceg, M. (2019) Real‑time video freezing detection for 4K UHD videos. Journal of Real-Time Image Processing, 1 (1), 1-15 doi:10.1007/s11554-019-00873-y.
@article{article, year = {2019}, pages = {1-15}, DOI = {10.1007/s11554-019-00873-y}, keywords = {No-reference, 4K UHD, Video freezing detection, Real-time, FPGA}, journal = {Journal of Real-Time Image Processing}, doi = {10.1007/s11554-019-00873-y}, volume = {1}, number = {1}, issn = {1861-8200}, title = {Real‑time video freezing detection for 4K UHD videos}, keyword = {No-reference, 4K UHD, Video freezing detection, Real-time, FPGA} }

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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