Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos

There has recently been a great deal of interest in the development of algorithms that objectively measure the integrity of video signals. Since video signals are being delivered to human end users in an increasingly wide array of applications and products, it is important that automatic methods of...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 19; H. 2; S. 335 - 350
Hauptverfasser:	Seshadrinathan, K., Bovik, A.C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.02.2010 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Arrays Assessments Automatic control Detection, estimation, filtering, equalization, prediction Exact sciences and technology Human Humans Image processing Image Processing, Computer-Assisted - methods Indexes Information, signal and communications theory Integrity Limiting Motion perception Motion pictures Movement - physiology perceptual quality Quality assessment Quality of service Signal and communications theory Signal processing Signal, noise Telecommunications and information theory temporal distortion Testing video quality Video Recording - methods Video signals Videos Visual databases Visual Perception Performance evaluation temporal distortion Video signal video quality Space time Algorithm Subjective evaluation Visual perception Motion perception Image quality Multiscale method Quality control quality assessment Database Open market perceptual quality Localization Image evaluation
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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