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master's thesis
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Objective video quality measure based on artifacts detected in video
Viliams Bajčinovci (2017)
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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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

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

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

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 21 May 2019, https://urn.nsk.hr/urn:nbn:hr:200:156026

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 2019 May 21] Available at: https://urn.nsk.hr/urn:nbn:hr:200:156026

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

Metadata
TitleObjektivna mjera kvalitete videa zasnovana na detektiranim artefaktima u videu
Title (english)Objective video quality measure based on artifacts detected in video
AuthorViliams Bajčinovci
MentorMario Vranješ (mentor)
Committee memberMario Vranješ (predsjednik povjerenstva)
Committee memberSnježana Rimac-Drlje (član povjerenstva)
Committee memberDenis Vranješ (član povjerenstva)
GranterJosip 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 country2017-09-28, 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)
Languagecroatian
URN:NBNurn:nbn:hr:200:156026
Study programmeTitle: Elektrotehnika; smjerovi: Komunikacije i informatika, Elektroenergetika
Study programme type: sveučilišni
Study level: diplomski
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourcetext
File originBorn digital
Access conditionsOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
Created on2017-10-27 13:47:21