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