DocumentCode :
2408482
Title :
Multi-scale and Scalable Video Quality Assessment
Author :
Seshadrinathan, Kalpana ; Bovik, Alan C.
fYear :
2008
fDate :
9-13 Jan. 2008
Firstpage :
1
Lastpage :
2
Abstract :
With the rapid proliferation of digital video applications, the question of video quality control becomes central. We present a novel multi-scale framework for video quality assessment that models motion in video sequences and is capable of capturing spatiotemporal artifacts in digital video. Performance evaluation of the proposed metric on the VQEG database shows that the system is competitive with and even performs better than existing methods.
Keywords :
image motion analysis; image sequences; video signal processing; VQEG database; digital video applications; multiscale-scalable video quality assessment; performance evaluation; spatiotemporal artifacts; video quality control; video sequences; Band pass filters; Brain modeling; Frequency domain analysis; Humans; Image motion analysis; Neurons; Optical filters; Quality assessment; Video on demand; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1458-1
Electronic_ISBN :
978-1-4244-1459-8
Type :
conf
DOI :
10.1109/ICCE.2008.4588117
Filename :
4588117
Link To Document :
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