VREDNOVANJE RJEŠENJA ZA DETEKCIJU ARTEFAKTA SMRZAVANJA SLIKE NA NOVOSTVORENOJ BAZI VIDEO SIGNALA

Vrtar, Ela

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master's thesis

VREDNOVANJE RJEŠENJA ZA DETEKCIJU ARTEFAKTA SMRZAVANJA SLIKE NA NOVOSTVORENOJ BAZI VIDEO SIGNALA

2022. urn:nbn:hr:200:026180

Vrtar, Ela

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

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APA 6th Edition

Vrtar, E. (2022). VREDNOVANJE RJEŠENJA ZA DETEKCIJU ARTEFAKTA SMRZAVANJA SLIKE NA NOVOSTVORENOJ BAZI VIDEO SIGNALA (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:026180

MLA 8th Edition

Vrtar, Ela. "VREDNOVANJE RJEŠENJA ZA DETEKCIJU ARTEFAKTA SMRZAVANJA SLIKE NA NOVOSTVORENOJ BAZI VIDEO SIGNALA." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:026180

Chicago 17th Edition

Harvard

Vrtar, E. (2022). 'VREDNOVANJE RJEŠENJA ZA DETEKCIJU ARTEFAKTA SMRZAVANJA SLIKE NA NOVOSTVORENOJ BAZI VIDEO SIGNALA', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 18 February 2025, https://urn.nsk.hr/urn:nbn:hr:200:026180

Vancouver

Vrtar E. VREDNOVANJE RJEŠENJA ZA DETEKCIJU ARTEFAKTA SMRZAVANJA SLIKE NA NOVOSTVORENOJ BAZI VIDEO SIGNALA [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2025 February 18] Available at: https://urn.nsk.hr/urn:nbn:hr:200:026180

IEEE

E. Vrtar, "VREDNOVANJE RJEŠENJA ZA DETEKCIJU ARTEFAKTA SMRZAVANJA SLIKE NA NOVOSTVORENOJ BAZI VIDEO SIGNALA", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:026180

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:026180

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Title	VREDNOVANJE RJEŠENJA ZA DETEKCIJU ARTEFAKTA SMRZAVANJA SLIKE NA NOVOSTVORENOJ BAZI VIDEO SIGNALA
Title (english)	EVALUATION OF THE SOLUTIONS FOR FREEZING ARTIFACT DETECTION IN THE VIDEO SIGNAL ON A NEWLY CREATED VIDEO SIGNAL BASE
Author	Ela Vrtar
Mentor	Marijan Herceg (mentor)
Committee member	Marijan Herceg (predsjednik povjerenstva)
Committee member	Ratko Grbić (član povjerenstva)
Committee member	Mario Vranješ (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek Osijek
Defense date and country	2022-09-27, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Abstract	U ovom radu opisan je sadržaj i postupak kreiranja baze video sekvenci s prisutnim artefaktom smrzavanja. Artefakt se manifestira na način da se pri reprodukciji ponavlja posljednji ispravno preneseni okvir video signala. Detekcija artefakata vrši se specijaliziranim algoritmima, a u ovom radu proučavan je način rada, kao i uspješnost detekcije HBFDA i RTFDA algoritma nad do sada objavljenim bazama video sekvenci. Sve baze su proučene, detektirani su njihovi nedostaci, a izrada nove baze video sekvenci temeljena je na dobivenim rezultatima analize. Video sekvence od kojih je formirana nova, SMVS FullHD baza podataka, različitog su sadržaja, no sadrže malu količinu vremenskih promjena unutar cjelokupne video sekvence. Na kraju rada predstavljeni su rezultati izvršenja implementiranih algoritama nad generiranim sekvencama novostvorene baze.
Abstract (english)	This paper describes the content and procedure of creating a database of video sequences with the presence of a freezing artifact. The artifact manifests itself in the way that the last correctly transmitted frame of the video signal is repeated during playback. Artifacts are detected using specialized algorithms, and in this work, the method of detection was described, as well as the detection success of the HBFDA and RTFDA algorithms over the video sequence databases published so far. All databases were studied, their shortcomings were detected, and the creation of a new database of video sequences was based on the results of the analysis. The video sequences from which the new, SMVS FullHD database was formed, have different content, but contain a small amount of time changes within the entire video sequence. At the end of the paper, the results of the implementation of the given algorithms on the video sequences of the new database are presented.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:026180
Study programme	Title: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering Course: Communications and Informatics Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access Embargo expiration date: 2022-11-10
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Created on	2022-11-10 15:20:16