Vision model based video perceptual distortion measure for video processing and applications

A perceptual video distortion measure system based on the human vision model is presented. This system is an extension of the still perceptual distortion measure system. One advantage of the distortion measure is that the distortion can be weighted for frames in the vicinity of scene cuts. Our video...

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Bibliographic Details
Published in1997 IEEE International Conference on Acoustics, Speech, and Signal Processing Vol. 4; pp. 3133 - 3136 vol.4
Main Authors Fu-Huei Lin, Gass, W., Mersereau, R.M.
Format Conference Proceeding
LanguageEnglish
Published Washington DC IEEE 1997
IEEE Computer Society Press
Subjects
Applied sciences
Brain modeling
Current measurement
Distortion measurement
Exact sciences and technology
Humans
Image processing
Information, signal and communications theory
Instruments
Layout
Optical distortion
Optical filters
Quantization
Signal processing
Telecommunications and information theory
Visual perception
Image processing
Measuring system
Signal distortion
Visual perception
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Summary:A perceptual video distortion measure system based on the human vision model is presented. This system is an extension of the still perceptual distortion measure system. One advantage of the distortion measure is that the distortion can be weighted for frames in the vicinity of scene cuts. Our video distortion measure also requires less computation compared to other approaches. The perceptual distortion measure has wide use in video processing and applications, such as in the selection of the quantization matrices, the selection of the mquant parameter, and as a criterion for mode decision in MPEG encoders. Simulation results are presented.
ISBN:0818679190
9780818679193
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1997.595456