DocumentCode
1733684
Title
Blind quality assessment of videos using a model of natural scene statistics and motion coherency
Author
Saad, M.A. ; Bovik, Alan C.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear
2012
Firstpage
332
Lastpage
336
Abstract
We propose a no-reference algorithm for video quality evaluation. The algorithm relies on a natural scene statistics (NSS) model of video DCT coefficients as well as a temporal model of motion coherency. The proposed framework is tested on the LIVE VQA database, and shown to correlate well with human visual judgments of quality.
Keywords
blind source separation; discrete cosine transforms; image motion analysis; quality management; statistical analysis; video signal processing; LIVE VQA database; NSS model; blind quality assessment; motion coherency; natural scene statistics model; no-reference algorithm; video DCT coefficient; video quality evaluation; No-reference video quality assessment; discrete cosine transform; motion coherency; natural scene statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4673-5050-1
Type
conf
DOI
10.1109/ACSSC.2012.6489018
Filename
6489018
Link To Document