Low Complex Blind Video Quality Predictor based on Support Vector Machines

Low Complex Blind Video Quality Predictor based on Support Vector Machines

Objective Video Quality Assessment plays a vital role in visual processing systems and especially in the mobile communication field, some of the video applications boosted the interest of robust methods for quality assessment. Out of all existing methods for Video Quality Analysis, No-Reference (NR)...

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Bibliographic Details
Main Author: Pashike, Amitesh Kumar Singam and Venkat Raj Reddy
Format: Others
Language:English
Published: Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap 2012
Subjects:
VQM
VQE
SVM
PCA
PSNR
SSIM
MOS and PEVQ.
Computer Sciences
Datavetenskap (datalogi)
Signal Processing
Signalbehandling
Telecommunications
Telekommunikation
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3654

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3654

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