Objektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu

Bajčinovci, Viliams

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master's thesis

Objektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu

2017. urn:nbn:hr:200:156026

Bajčinovci, Viliams

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

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APA 6th Edition

Bajčinovci, V. (2017). Objektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:156026

MLA 8th Edition

Bajčinovci, Viliams. "Objektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:156026

Chicago 17th Edition

Harvard

Bajčinovci, V. (2017). 'Objektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 01 December 2021, https://urn.nsk.hr/urn:nbn:hr:200:156026

Vancouver

Bajčinovci V. Objektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2021 December 01] Available at: https://urn.nsk.hr/urn:nbn:hr:200:156026

IEEE

V. Bajčinovci, "Objektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:156026

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:156026

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Metadata

Title	Objektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu
Title (english)	Objective video quality measure based on artifacts detected in video
Author	Viliams Bajčinovci
Mentor	Mario Vranješ (mentor)
Committee member	Mario Vranješ (predsjednik povjerenstva)
Committee member	Snježana Rimac-Drlje (član povjerenstva)
Committee member	Denis Vranješ (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Communications) (Chair of Radiocommunications and Telecommunications) Osijek
Defense date and country	2017-09-28, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Information Systems
Abstract	U ovom radu razvijena je objektivna metrika koja bez mogućnosti pristupa informacijama referentne video sekvence, na temelju detektiranih artefakata, daje ocjenu kvalitete testne video sekvence. Za potrebe razvoja i testiranja metrike kreirane su dvije nove video baze te su nad pripadnim sekvencama provedeni subjektivni testovi. Uz kreirane baze, korištene su još dvije javno dostupne video baze za testiranje rada novo-stvorene metrike. Metrika uzima u obzir vremensko i prostorno maskiranje artefakata te koristi Minkowski vremensko sažimanje povratnih vrijednosti korištenih algoritama za detekciju artefakata i nelinearnu transformaciju. Za potrebe poboljšanja predviđanja kvalitete, razvijen je model za klasifikaciju načina kompresije izvornog sadržaja.
Abstract (english)	In this Master Thesis an objective no-reference metric for video quality assessment based on artifact detection was developed. For requirements of metric development and testing, two new video quality databases were created and subjective quality assessment experiments conducted. Two other publicly available video quality databases were also used for the newly-created video quality metric testing. The developed metric takes spatial and temporal artifact masking effects into account, uses Minkowski temporal pooling to pool values returned by algorithms for artifact detection and nonlinear transformation. A model for compression method classification was developed resulting in increase of video quality prediction performance.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:156026
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
Terms of use
Created on	2017-10-27 13:47:21