Blind Prediction of Natural Video Quality

We propose a blind (no reference or NR) video quality evaluation model that is nondistortion specific. The approach relies on a spatio-temporal model of video scenes in the discrete cosine transform domain, and on a model that characterizes the type of motion occurring in the scenes, to predict vide...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 23; H. 3; S. 1352 - 1365
Hauptverfasser:	Saad, Michele A., Bovik, Alan C., Charrier, Christophe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.03.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Blinds Coherence Computational modeling Computer Science Detection, estimation, filtering, equalization, prediction discrete cosine transform Discrete cosine transforms egomotion Exact sciences and technology generalized Gaussian Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image Processing Information, signal and communications theory Mathematical model Mathematical models Motion Pattern Recognition, Automated - methods Photography - methods Prediction algorithms Predictive models Quality assessment Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal, noise Statistics Telecommunications and information theory Transaction processing Vectors Video quality assessment Video Recording - methods Natural scene Video quality assessment Algorithm Subjective evaluation Image quality generalized Gaussian Video databases discrete cosine transform Coherence Quality control Database Signal processing Discrete cosine transforms egomotion Image evaluation
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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