DETEKTIRANJE ARTEFAKTA SMRZAVANJA SLIKE U VIDEO SIGNALU ZASNOVANO NA STROJNOM UČENJU

Vukadin, Domagoj

master's thesis

DETEKTIRANJE ARTEFAKTA SMRZAVANJA SLIKE U VIDEO SIGNALU ZASNOVANO NA STROJNOM UČENJU

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. urn:nbn:hr:200:262075

Vukadin, Domagoj

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Electronics and Microelectronics

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

APA 6th Edition

Vukadin, D. (2022). DETEKTIRANJE ARTEFAKTA SMRZAVANJA SLIKE U VIDEO SIGNALU ZASNOVANO NA STROJNOM UČENJU (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:200:262075

MLA 8th Edition

Vukadin, Domagoj. "DETEKTIRANJE ARTEFAKTA SMRZAVANJA SLIKE U VIDEO SIGNALU ZASNOVANO NA STROJNOM UČENJU." 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:200:262075

Chicago 17th Edition

Harvard

Vukadin, D. (2022). 'DETEKTIRANJE ARTEFAKTA SMRZAVANJA SLIKE U VIDEO SIGNALU ZASNOVANO NA STROJNOM UČENJU', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 13 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:262075

Vancouver

Vukadin D. DETEKTIRANJE ARTEFAKTA SMRZAVANJA SLIKE U VIDEO SIGNALU ZASNOVANO NA STROJNOM UČENJU [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2025 January 13] Available at: https://urn.nsk.hr/urn:nbn:hr:200:262075

IEEE

D. Vukadin, "DETEKTIRANJE ARTEFAKTA SMRZAVANJA SLIKE U VIDEO SIGNALU ZASNOVANO NA STROJNOM UČENJU", 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:200:262075

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:262075

Metadata

Title	DETEKTIRANJE ARTEFAKTA SMRZAVANJA SLIKE U VIDEO SIGNALU ZASNOVANO NA STROJNOM UČENJU
Title (english)	MACHINE LEARNING BASED FREEZING ARTIFACTS DETECTION IN VIDEO SIGNAL
Author	Domagoj Vukadin
Mentor	Marijan Herceg (mentor)
Committee member	Marijan Herceg (predsjednik povjerenstva)
Committee member	Mario Vranješ (član povjerenstva)
Committee member	Ratko Grbić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Communications) (Chair of Electronics and Microelectronics) Osijek
Defense date and country	2022-09-25, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Abstract	U radu je opisana i prikazana manifestacija artefakta smrzavanja slike u video signalu. Opisan je temeljni princip detekcije artefakta smrzavanja bez pristupa referentnom sadržaju, problemi pri detekciji koje potrebno uzeti u obzir te ideja rješenja zasnovana na strojnom učenju. Dan je pregled postojećih baza video sekvenci koje sadrže artefakt smrzavanja i pregled postojećih algoritama. Predstavljena su tri vlastita rješenja za detekciju artefakta smrzavanja zasnovana na strojnom učenju. Rezultati postojećih algoritama za detekciju artefakta smrzavanja uspoređeni su s vlastitim rješenjima.
Abstract (english)	This master’s thesis describes and presents manifestation of freezing artefact. The basic principle of no-reference freezing artefact detection, detection problems that need to be considered and the idea of a solution based on machine learning are described. An overview of the existing databases with video sequences containing the freezing artifact is given, as well as an overview of the existing algorithms. Three proposed solutions for freezing artifact detection based on machine learning are presented. The results of two existing no-reference freezing detection algorithms are compared with our own solutions.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:262075
Study programme	Title: UNIVERSITY STUDY AUTOMOBILE COMPUTER AND COMMUNICATION Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija (magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2022-12-19 11:33:20

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