Sustav za nadgledanje pogrešaka u prikazu živog video sadržaja

Bošnjaković, Ivan

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master's thesis

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System for artefacts monitoring in live video content

Ivan Bošnjaković (2016)

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

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APA 6th Edition

Bošnjaković, I. (2016). Sustav za nadgledanje pogrešaka u prikazu živog video sadržaja (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:583082

MLA 8th Edition

Bošnjaković, Ivan. "Sustav za nadgledanje pogrešaka u prikazu živog video sadržaja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:583082

Chicago 17th Edition

Harvard

Bošnjaković, I. (2016). 'Sustav za nadgledanje pogrešaka u prikazu živog video sadržaja', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 14 November 2019, https://urn.nsk.hr/urn:nbn:hr:200:583082

Vancouver

Bošnjaković I. Sustav za nadgledanje pogrešaka u prikazu živog video sadržaja [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2019 November 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:583082

IEEE

I. Bošnjaković, "Sustav za nadgledanje pogrešaka u prikazu živog video sadržaja", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:583082

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:583082

Metadata

Title	Sustav za nadgledanje pogrešaka u prikazu živog video sadržaja
Title (english)	System for artefacts monitoring in live video content
Author	Ivan Bošnjaković
Mentor	Ratko Grbić (mentor)
Committee member	Ratko Grbić (predsjednik povjerenstva)
Committee member	Mario Vranješ (član povjerenstva)
Committee member	Marijan Herceg (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Computer Engineering and Automation) (Chair of Automation and Robotics) Osijek
Defense date and country	2016-09-29, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Process Computing
Abstract	Potražnja za videom i aplikacijama kojima je osnova multimedijski sadržaj u velikom je porastu u zadnjih nekoliko godina. Zbog sve veće potražnje za multimedijom pogotovo video multimedijom postoji potreba za pouzdanim alatom s kojim će se procijeniti kvaliteta videa koji se distribuira do krajnjeg korisnika. Iako u znanstvenim krugovima, pitanje analize videa zauzima mnogo pažnje alati za analizu videa su još uvijek vrlo rijetki. U ovom radu predstavljena je aplikacija koja omogućava bez referentnu detekciju video artefakata u stvarnom vremenu i koja je namijenjena za korisnike koji rade na produkciji videa, distribuciji videa, proizvodnjom hardvera, odnosno pripadajućeg softvera i znanstvenim istraživanjima. Aplikacija ima mogućnost dodavanja i brisanja algoritamskih biblioteka koje se koriste za analizu videa. Omogućava analizu rezultata i zapis strukturiranog rezultata na disk koji se mogu koristiti u daljnjoj analizi videa i uređaja za reprodukciju video sadržaja
Abstract (english)	The demand for a wide range of video and multimedia applications is growing extremely fast in recent years. In such a diverse usage of digital video, there is a need for reliable tool for testing video quality by different parties involved in video content delivery to end users. While video quality methods are gaining quite considerable attention in scientific research, practical tools for video quality are still rare. This thesis presents an application for real-time no-reference video artifact detection that can be used in different scenarios like video equipment testing, network monitoring, video hardware/software development and scientific research. The application has some unique features allowing user customization in terms of used no-reference methods, giving the user deeper insight into the obtained results and easier usage when dealing with in field video equipment testing.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:583082
Study programme	Title: Graduate University Study Programme in Computer Engineering Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2016-11-29 09:03:23