A RNN-based objective video quality measurement
Chinese Optics Letters, Vol. 7, Issue 11, pp. 1004-1006 (2009)
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Abstract
Technology used to automatically assess video quality plays a significant role in video processing areas. Because of the complexity of video media, there are great limitations to assess video quality with only one factor. We propose a new method using artificial random neural networks (RNNs) with motion evaluation as an estimation of perceived visual distortion. The results are obtained through a nonlinear fitting procedure and well correlated with human perception. Compared with other methods, the proposed method performs more adaptable and accurate predictions.
© 2009 Chinese Optics Letters
OCIS Codes
(100.2960) Image processing : Image analysis
(110.3000) Imaging systems : Image quality assessment
(120.3940) Instrumentation, measurement, and metrology : Metrology
(330.5000) Vision, color, and visual optics : Vision - patterns and recognition
(330.5020) Vision, color, and visual optics : Perception psychology
(100.4145) Image processing : Motion, hyperspectral image processing
Citation
Xuan Huang, Rong Zhang, and Jianxin Pang, "A RNN-based objective video quality measurement," Chin. Opt. Lett. 7, 1004-1006 (2009)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-7-11-1004
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