DocumentCode :
258991
Title :
Automated Real Time Video Quality Measurement Using Levenberg-Marquardt Backpropagation Algorithm
Author :
Archana, P. ; Kulkarni, Santosh
Author_Institution :
Dept. of E.C.E., VNR VJIET, Hyderabad, India
fYear :
2014
fDate :
8-10 Jan. 2014
Firstpage :
348
Lastpage :
353
Abstract :
With high volumes of Multimedia data transmission becoming a reality, most of the networks are capable of meeting only bare requirements of video information transfer. An important aspect of video transfer is to deal with User´s satisfaction in terms of quality of service. Hence new methods are being proposed to meet user´s criteria. In this paper a frame work has been described based on Artificial Neural Networks for real time video quality assessment.
Keywords :
backpropagation; neural nets; quality of service; real-time systems; video signal processing; Levenberg-Marquardt backpropagation algorithm; artificial neural networks; automated real time video quality measurement; multimedia data transmission; quality of service; real time video quality assessment; user criteria; user satisfaction; video information transfer; Artificial neural networks; Encoding; Neurons; Quality assessment; Real-time systems; Streaming media; Video recording; mean opinion score; neural network; peak signal to noise ratio; quality database; subjective method; video quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing (ICSIP), 2014 Fifth International Conference on
Conference_Location :
Jeju Island
Type :
conf
DOI :
10.1109/ICSIP.2014.61
Filename :
6754900
Link To Document :
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