Paper
17 January 2006 No-reference jerkiness evaluation method for multimedia communications
M. Carli, D. Guida, A. Neri
Author Affiliations +
Proceedings Volume 6059, Image Quality and System Performance III; 605914 (2006) https://doi.org/10.1117/12.644621
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
In this contribution, we present an objective assessment method for the evaluation, without reference, of the degradation of the video quality induced by the reduction of the temporal resolution. The assessment of the jerkiness perceived by a human observer is performed by feeding a multilayer neural network with the statistical distributions of the kinematics data (speed, acceleration and jerk of objects on the image plane) evaluated on a video shot. To identify the neural network (architecture and parameters) that best fit the human behavior, a subjective experiment has been performed. Validation of the model on the test set indicate a good match between the Mean Opinion Score (MOS) and the jerkiness indicator computed by the neural network.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Carli, D. Guida, and A. Neri "No-reference jerkiness evaluation method for multimedia communications", Proc. SPIE 6059, Image Quality and System Performance III, 605914 (17 January 2006); https://doi.org/10.1117/12.644621
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Cited by 3 scholarly publications.
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KEYWORDS
Video

Neural networks

Molybdenum

Cameras

Neurons

Kinematics

Image quality

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