Title :
Quality evaluation of video data using subjective integral function
Author :
Slobodyanyuk, A.V.
Author_Institution :
Kamianets-Podilsky Nat. Univ. named after Ivan Ohienko, Kamianets-Podilsky, Ukraine
Abstract :
The analysis of existing approaches to assessing the quality of video data and a mathematical model to determine the quality of the video data by calculating the integral function that takes into account the combined indicators of the quality of video and voice parameters, and the correction factors obtained experimentally by expert groups.
Keywords :
video communication; correction factors; integral function; mathematical model; subjective integral function; video data quality evaluation; video quality indicators; voice parameters; Educational institutions; Electronic mail; Multimedia communication; Quality assessment; Quality of service; Video recording;
Conference_Titel :
Microwave and Telecommunication Technology (CriMiCo), 2013 23rd International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-395-1
