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doctoral thesis
Just-in-time video transcoding system on heterogeneous high performance computing architectures
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:782998
Piljić, Igor
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document

Piljić, I. (2019). Just-in-time video transcoding system on heterogeneous high performance computing architectures (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:782998

Piljić, Igor. "Just-in-time video transcoding system on heterogeneous high performance computing architectures." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:782998

Piljić, Igor. "Just-in-time video transcoding system on heterogeneous high performance computing architectures." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:782998

Piljić, I. (2019). 'Just-in-time video transcoding system on heterogeneous high performance computing architectures', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:782998

Piljić I. Just-in-time video transcoding system on heterogeneous high performance computing architectures [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:782998

I. Piljić, "Just-in-time video transcoding system on heterogeneous high performance computing architectures", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:782998

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Metadata
TitleJust-in-time video transcoding system on heterogeneous high performance computing architectures
Title (croatian)Sustav za pravovremeno videotraskodiranje na raznorodnim arhitekturama za računarstvo visokih performaci
AuthorIgor Piljić
MentorMario Kovač (mentor)
Committee memberMario Kovač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Control and Computer Engineering)
Zagreb
Defense date and country2019, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Architecture of Computer Systems
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Latest analysis show that 82% of global IP traffic will be video traffic by 2022. Handling this amount of data is a very challenging task for video content providers. Another factor that highlights this problem is the continuously growing number of different devices that can play video content. With such diversity of devices a single copy of the video cannot match requirements of all playback conditions. Just-in-Time (JiT) video transcoding has one of the key roles in resolving these issues. However, it is an extremely compute-intensive and resource-hungry process. This thesis presents a novel algorithm for reusing coding information from the input video stream. The main concept behind the proposed algorithm is to estimate the computational complexity of re-encoding each coding block based on the information retrieved from the decoded frame. The final goal is to achieve an optimal trade-off between video quality of the transcoded bitstream and coding efficiency while conforming to strict timing requirements. To achieve a more efficient solution, a hardware accelerator for inter prediction, as one of the key compute-intensive kernels, is designed and implemented. An integrated system composed of implemented algorithm and custom hardware accelerator is evaluated. Compared with JiT transcoder, the proposed solution increases video quality by 0.945 dB and reduces bitrate on average by 35.06%. Significant speedups of up to 4 times are achieved compared with transcoder without timing requirements but with average losses of 0.592 in PSNR and 21.74% in bitrate.
Abstract (croatian)
Statistike pokazuju da će 82% globalnog Internet Protokol (IP) prometa do 2022. godine činiti video promet. Rukovanje tolikom količinom podataka predstavlja iznimno zahtjevan zadatak za poslužitelje video sadržaja. Još jedan faktor koji naglašava složenost ovog problema je činjenica da broj različitih uređaja koji mogu prikazivati video sadržaj konstantno raste. Takvu raznovrsnost uređaja nemoguće je zadovoljiti jednom verzijom videa. Pravovremeno videotranskodiranje ima ključnu ulogu u rješavanju ovog problema, ali je računalno iznimno zahtjevno. Glavni cilj ove doktorske disertacije bilo je istražiti tehnike iskorištavanja informacija o kodiranju ulaznog video toka kodiranog HEVC standardom da bi se ubrzao proces ponovnog kodiranja, ali bez značajnog negativnog utjecaja na kvalitetu videa i/ili učinkovitost kodiranja. U cilju daljnjeg poboljšanja procesa videotranskodiranja, istražene su i učinkovite izvedbe pravovremenog videotranskodiranja na raznorodnim arhitekturama za računarstvo visokih performanci i razvijen je sklopovski ubrzivač za inter predikciju, kao jednu od ključnih jezgri u procesu videotranskodiranja. Integrirano rješenje, koje se sastoji od razvijenog algoritma i specijaliziranog sklopovskog ubrzivača, postiže bolju kvalitetu videa od 0.945 dB te bolju učinkovitost kodiranja od 35.06% u odnosu na druge pravovremene transkodere. U usporedbi s drugim transkoderima koji ne ostvaruju pravovremeno transkodiranje, postiže se ubrzanje do 4 puta, uz prosječne gubitke od 0.592 dB u kvaliteti te 21.74% u učinkovitosti kodiranja.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:782998
Study programmeTitle: Electrical Engineering and Computing
Study programme type: university
Study level: postgraduate
Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
Type of resourceText
Extent131 str. ; 30 cm
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2020-01-21 12:04:25

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