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Motion Tuned Spatio-temporal Quality Assessment of Natural Videos (2010)
| Venue: | IEEE TRANSACTIONS ON IMAGE PROCESSING |
| Citations: | 74 - 7 self |
BibTeX
@MISC{Seshadrinathan10motiontuned,
author = {Kalpana Seshadrinathan and Alan C. Bovik},
title = {Motion Tuned Spatio-temporal Quality Assessment of Natural Videos},
year = {2010}
}
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Abstract
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 video quality assessment (VQA) be available that can assist in controlling the quality of video being delivered to this critical audience. Naturally, the quality of motion representation in videos plays an important role in the perception of video quality, yet existing VQA algorithms make little direct use of motion information, thus limiting their effectiveness. We seek to ameliorate this by developing a general, spatio-spectrally localized multiscale framework for evaluating dynamic video fidelity that integrates both spatial and temporal (and spatio-temporal) aspects of distortion assessment. Video quality is evaluated not only in space and time, but also in space-time, by evaluating motion quality along computed motion trajectories. Using this framework, we develop a full reference VQA algorithm for which we coin the term the MOtion-based Video Integrity Evaluation index, or MOVIE index. It is found that the MOVIE index delivers VQA scores that correlate quite closely with human subjective judgment, using the Video Quality Expert Group (VQEG) FRTV Phase 1 database as a test bed. Indeed, the MOVIE index is found to be quite competitive with, and even outperform, algorithms developed and submitted to the VQEG FRTV Phase 1 study, as well as more recent VQA algorithms tested on this database.
Keyphrases
spatio-temporal quality assessment natural video movie index video signal video quality important role motion representation little direct use video quality assessment video quality expert group vqa algorithm distortion assessment motion trajectory vqeg frtv phase great deal video play wide array movie index delivers vqa dynamic video fidelity motion quality test bed recent vqa algorithm localized multiscale framework frtv phase human end user critical audience full reference vqa algorithm human subjective judgment automatic method motion information motion-based video integrity evaluation index
