Paper
10 February 2009 Motion-based perceptual quality assessment of video
Author Affiliations +
Proceedings Volume 7240, Human Vision and Electronic Imaging XIV; 72400X (2009) https://doi.org/10.1117/12.811817
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
There is a great deal of interest in methods to assess the perceptual quality of a video sequence in a full reference framework. Motion plays an important role in human perception of video and videos suffer from several artifacts that have to deal with inaccuracies in the representation of motion in the test video compared to the reference. However, existing algorithms to measure video quality focus primarily on capturing spatial artifacts in the video signal, and are inadequate at modeling motion perception and capturing temporal artifacts in videos. We present an objective, full reference video quality index known as the MOtion-based Video Integrity Evaluation (MOVIE) index that integrates both spatial and temporal aspects of distortion assessment. MOVIE explicitly uses motion information from the reference video and evaluates the quality of the test video along the motion trajectories of the reference video. The performance of MOVIE is evaluated using the VQEG FR-TV Phase I dataset and MOVIE is shown to be competitive with, and even out-perform, existing video quality assessment systems.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kalpana Seshadrinathan and Alan C. Bovik "Motion-based perceptual quality assessment of video", Proc. SPIE 7240, Human Vision and Electronic Imaging XIV, 72400X (10 February 2009); https://doi.org/10.1117/12.811817
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Cited by 46 scholarly publications.
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KEYWORDS
Video

Distortion

Visualization

Optical filters

Visual process modeling

Video processing

Motion models

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